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Promises and Pitfalls of Technology

Politics and privacy, private-sector influence and big tech, state competition and conflict, author biography, how is technology changing the world, and how should the world change technology.

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Josephine Wolff; How Is Technology Changing the World, and How Should the World Change Technology?. Global Perspectives 1 February 2021; 2 (1): 27353. doi: https://doi.org/10.1525/gp.2021.27353

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Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing relies largely on digital technologies and artificial intelligence, and therefore involves less human-to-human contact than ever before and more opportunities for biases to be embedded and codified in our technological systems in ways we may not even be able to identify or recognize. Bioengineering advances are opening up new terrain for challenging philosophical, political, and economic questions regarding human-natural relations. Additionally, the management of these large and small devices and systems is increasingly done through the cloud, so that control over them is both very remote and removed from direct human or social control. The study of how to make technologies like artificial intelligence or the Internet of Things “explainable” has become its own area of research because it is so difficult to understand how they work or what is at fault when something goes wrong (Gunning and Aha 2019) .

This growing complexity makes it more difficult than ever—and more imperative than ever—for scholars to probe how technological advancements are altering life around the world in both positive and negative ways and what social, political, and legal tools are needed to help shape the development and design of technology in beneficial directions. This can seem like an impossible task in light of the rapid pace of technological change and the sense that its continued advancement is inevitable, but many countries around the world are only just beginning to take significant steps toward regulating computer technologies and are still in the process of radically rethinking the rules governing global data flows and exchange of technology across borders.

These are exciting times not just for technological development but also for technology policy—our technologies may be more advanced and complicated than ever but so, too, are our understandings of how they can best be leveraged, protected, and even constrained. The structures of technological systems as determined largely by government and institutional policies and those structures have tremendous implications for social organization and agency, ranging from open source, open systems that are highly distributed and decentralized, to those that are tightly controlled and closed, structured according to stricter and more hierarchical models. And just as our understanding of the governance of technology is developing in new and interesting ways, so, too, is our understanding of the social, cultural, environmental, and political dimensions of emerging technologies. We are realizing both the challenges and the importance of mapping out the full range of ways that technology is changing our society, what we want those changes to look like, and what tools we have to try to influence and guide those shifts.

Technology can be a source of tremendous optimism. It can help overcome some of the greatest challenges our society faces, including climate change, famine, and disease. For those who believe in the power of innovation and the promise of creative destruction to advance economic development and lead to better quality of life, technology is a vital economic driver (Schumpeter 1942) . But it can also be a tool of tremendous fear and oppression, embedding biases in automated decision-making processes and information-processing algorithms, exacerbating economic and social inequalities within and between countries to a staggering degree, or creating new weapons and avenues for attack unlike any we have had to face in the past. Scholars have even contended that the emergence of the term technology in the nineteenth and twentieth centuries marked a shift from viewing individual pieces of machinery as a means to achieving political and social progress to the more dangerous, or hazardous, view that larger-scale, more complex technological systems were a semiautonomous form of progress in and of themselves (Marx 2010) . More recently, technologists have sharply criticized what they view as a wave of new Luddites, people intent on slowing the development of technology and turning back the clock on innovation as a means of mitigating the societal impacts of technological change (Marlowe 1970) .

At the heart of fights over new technologies and their resulting global changes are often two conflicting visions of technology: a fundamentally optimistic one that believes humans use it as a tool to achieve greater goals, and a fundamentally pessimistic one that holds that technological systems have reached a point beyond our control. Technology philosophers have argued that neither of these views is wholly accurate and that a purely optimistic or pessimistic view of technology is insufficient to capture the nuances and complexity of our relationship to technology (Oberdiek and Tiles 1995) . Understanding technology and how we can make better decisions about designing, deploying, and refining it requires capturing that nuance and complexity through in-depth analysis of the impacts of different technological advancements and the ways they have played out in all their complicated and controversial messiness across the world.

These impacts are often unpredictable as technologies are adopted in new contexts and come to be used in ways that sometimes diverge significantly from the use cases envisioned by their designers. The internet, designed to help transmit information between computer networks, became a crucial vehicle for commerce, introducing unexpected avenues for crime and financial fraud. Social media platforms like Facebook and Twitter, designed to connect friends and families through sharing photographs and life updates, became focal points of election controversies and political influence. Cryptocurrencies, originally intended as a means of decentralized digital cash, have become a significant environmental hazard as more and more computing resources are devoted to mining these forms of virtual money. One of the crucial challenges in this area is therefore recognizing, documenting, and even anticipating some of these unexpected consequences and providing mechanisms to technologists for how to think through the impacts of their work, as well as possible other paths to different outcomes (Verbeek 2006) . And just as technological innovations can cause unexpected harm, they can also bring about extraordinary benefits—new vaccines and medicines to address global pandemics and save thousands of lives, new sources of energy that can drastically reduce emissions and help combat climate change, new modes of education that can reach people who would otherwise have no access to schooling. Regulating technology therefore requires a careful balance of mitigating risks without overly restricting potentially beneficial innovations.

Nations around the world have taken very different approaches to governing emerging technologies and have adopted a range of different technologies themselves in pursuit of more modern governance structures and processes (Braman 2009) . In Europe, the precautionary principle has guided much more anticipatory regulation aimed at addressing the risks presented by technologies even before they are fully realized. For instance, the European Union’s General Data Protection Regulation focuses on the responsibilities of data controllers and processors to provide individuals with access to their data and information about how that data is being used not just as a means of addressing existing security and privacy threats, such as data breaches, but also to protect against future developments and uses of that data for artificial intelligence and automated decision-making purposes. In Germany, Technische Überwachungsvereine, or TÜVs, perform regular tests and inspections of technological systems to assess and minimize risks over time, as the tech landscape evolves. In the United States, by contrast, there is much greater reliance on litigation and liability regimes to address safety and security failings after-the-fact. These different approaches reflect not just the different legal and regulatory mechanisms and philosophies of different nations but also the different ways those nations prioritize rapid development of the technology industry versus safety, security, and individual control. Typically, governance innovations move much more slowly than technological innovations, and regulations can lag years, or even decades, behind the technologies they aim to govern.

In addition to this varied set of national regulatory approaches, a variety of international and nongovernmental organizations also contribute to the process of developing standards, rules, and norms for new technologies, including the International Organization for Standardization­ and the International Telecommunication Union. These multilateral and NGO actors play an especially important role in trying to define appropriate boundaries for the use of new technologies by governments as instruments of control for the state.

At the same time that policymakers are under scrutiny both for their decisions about how to regulate technology as well as their decisions about how and when to adopt technologies like facial recognition themselves, technology firms and designers have also come under increasing criticism. Growing recognition that the design of technologies can have far-reaching social and political implications means that there is more pressure on technologists to take into consideration the consequences of their decisions early on in the design process (Vincenti 1993; Winner 1980) . The question of how technologists should incorporate these social dimensions into their design and development processes is an old one, and debate on these issues dates back to the 1970s, but it remains an urgent and often overlooked part of the puzzle because so many of the supposedly systematic mechanisms for assessing the impacts of new technologies in both the private and public sectors are primarily bureaucratic, symbolic processes rather than carrying any real weight or influence.

Technologists are often ill-equipped or unwilling to respond to the sorts of social problems that their creations have—often unwittingly—exacerbated, and instead point to governments and lawmakers to address those problems (Zuckerberg 2019) . But governments often have few incentives to engage in this area. This is because setting clear standards and rules for an ever-evolving technological landscape can be extremely challenging, because enforcement of those rules can be a significant undertaking requiring considerable expertise, and because the tech sector is a major source of jobs and revenue for many countries that may fear losing those benefits if they constrain companies too much. This indicates not just a need for clearer incentives and better policies for both private- and public-sector entities but also a need for new mechanisms whereby the technology development and design process can be influenced and assessed by people with a wider range of experiences and expertise. If we want technologies to be designed with an eye to their impacts, who is responsible for predicting, measuring, and mitigating those impacts throughout the design process? Involving policymakers in that process in a more meaningful way will also require training them to have the analytic and technical capacity to more fully engage with technologists and understand more fully the implications of their decisions.

At the same time that tech companies seem unwilling or unable to rein in their creations, many also fear they wield too much power, in some cases all but replacing governments and international organizations in their ability to make decisions that affect millions of people worldwide and control access to information, platforms, and audiences (Kilovaty 2020) . Regulators around the world have begun considering whether some of these companies have become so powerful that they violate the tenets of antitrust laws, but it can be difficult for governments to identify exactly what those violations are, especially in the context of an industry where the largest players often provide their customers with free services. And the platforms and services developed by tech companies are often wielded most powerfully and dangerously not directly by their private-sector creators and operators but instead by states themselves for widespread misinformation campaigns that serve political purposes (Nye 2018) .

Since the largest private entities in the tech sector operate in many countries, they are often better poised to implement global changes to the technological ecosystem than individual states or regulatory bodies, creating new challenges to existing governance structures and hierarchies. Just as it can be challenging to provide oversight for government use of technologies, so, too, oversight of the biggest tech companies, which have more resources, reach, and power than many nations, can prove to be a daunting task. The rise of network forms of organization and the growing gig economy have added to these challenges, making it even harder for regulators to fully address the breadth of these companies’ operations (Powell 1990) . The private-public partnerships that have emerged around energy, transportation, medical, and cyber technologies further complicate this picture, blurring the line between the public and private sectors and raising critical questions about the role of each in providing critical infrastructure, health care, and security. How can and should private tech companies operating in these different sectors be governed, and what types of influence do they exert over regulators? How feasible are different policy proposals aimed at technological innovation, and what potential unintended consequences might they have?

Conflict between countries has also spilled over significantly into the private sector in recent years, most notably in the case of tensions between the United States and China over which technologies developed in each country will be permitted by the other and which will be purchased by other customers, outside those two countries. Countries competing to develop the best technology is not a new phenomenon, but the current conflicts have major international ramifications and will influence the infrastructure that is installed and used around the world for years to come. Untangling the different factors that feed into these tussles as well as whom they benefit and whom they leave at a disadvantage is crucial for understanding how governments can most effectively foster technological innovation and invention domestically as well as the global consequences of those efforts. As much of the world is forced to choose between buying technology from the United States or from China, how should we understand the long-term impacts of those choices and the options available to people in countries without robust domestic tech industries? Does the global spread of technologies help fuel further innovation in countries with smaller tech markets, or does it reinforce the dominance of the states that are already most prominent in this sector? How can research universities maintain global collaborations and research communities in light of these national competitions, and what role does government research and development spending play in fostering innovation within its own borders and worldwide? How should intellectual property protections evolve to meet the demands of the technology industry, and how can those protections be enforced globally?

These conflicts between countries sometimes appear to challenge the feasibility of truly global technologies and networks that operate across all countries through standardized protocols and design features. Organizations like the International Organization for Standardization, the World Intellectual Property Organization, the United Nations Industrial Development Organization, and many others have tried to harmonize these policies and protocols across different countries for years, but have met with limited success when it comes to resolving the issues of greatest tension and disagreement among nations. For technology to operate in a global environment, there is a need for a much greater degree of coordination among countries and the development of common standards and norms, but governments continue to struggle to agree not just on those norms themselves but even the appropriate venue and processes for developing them. Without greater global cooperation, is it possible to maintain a global network like the internet or to promote the spread of new technologies around the world to address challenges of sustainability? What might help incentivize that cooperation moving forward, and what could new structures and process for governance of global technologies look like? Why has the tech industry’s self-regulation culture persisted? Do the same traditional drivers for public policy, such as politics of harmonization and path dependency in policy-making, still sufficiently explain policy outcomes in this space? As new technologies and their applications spread across the globe in uneven ways, how and when do they create forces of change from unexpected places?

These are some of the questions that we hope to address in the Technology and Global Change section through articles that tackle new dimensions of the global landscape of designing, developing, deploying, and assessing new technologies to address major challenges the world faces. Understanding these processes requires synthesizing knowledge from a range of different fields, including sociology, political science, economics, and history, as well as technical fields such as engineering, climate science, and computer science. A crucial part of understanding how technology has created global change and, in turn, how global changes have influenced the development of new technologies is understanding the technologies themselves in all their richness and complexity—how they work, the limits of what they can do, what they were designed to do, how they are actually used. Just as technologies themselves are becoming more complicated, so are their embeddings and relationships to the larger social, political, and legal contexts in which they exist. Scholars across all disciplines are encouraged to join us in untangling those complexities.

Josephine Wolff is an associate professor of cybersecurity policy at the Fletcher School of Law and Diplomacy at Tufts University. Her book You’ll See This Message When It Is Too Late: The Legal and Economic Aftermath of Cybersecurity Breaches was published by MIT Press in 2018.

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Davos 2023: Eight ways technology will impact our lives in the future

The next generation will live a very different life to us, thanks to technology. Image:  Pexels/ThisIsEngineering

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• Technology will be a vital tool for creating a cleaner, safer and more inclusive world, but what changes can we expect to see?
• Panelists on the Technology for a More Resilient World session at Davos discussed future trends and developments in tech.
• Be it the metaverse, smart glasses or large language models, the world as we know it may never be quite as we first imagined it.

Technology can be an important tool in the transition to a cleaner, safer and more inclusive world. But what strategic opportunities are there for technology to be an accelerator of progress and how is it likely to affect the next generation?

Leaders gathered on day two of Davos to talk about how technology and platforms will change the world, what tech trends and developments we’re likely to see, and even provide a glimpse into what our grandchildren can expect in future.

The Technology for a More Resilient World session featured Nicholas Thompson, CEO, The Atlantic; Sunil Bharti Mittal, Chairman, Bharti Enterprises; Arvind Krishna, Chairman and CEO, IBM Corporation; Julie Sweet, Chair and CEO, Accenture; and Cristiano Amon, President and CEO, Qualcomm Incorporated.

Here’s a selection of what they had to say:

1. Technology is boosting productivity

Businesses are increasingly looking to digitally transform their operations amid an incredible demand for things to be more intelligent and connected, says Cristiano Amon , President and CEO of Qualcomm Incorporated. “I think technology right now, probably more than ever – especially when we talk about the current economic environment – we see that there is this desire of companies to digitally transform and use technology to become more efficient and more productive,” he said.

2. Glasses will overtake mobile phones

The future of computing will become virtual as computing platforms continue to evolve – just as it evolved from personal computers to mobile phones, says Amon . What we now know as the video call, particularly post-COVID, will soon become a holographic image in front of you seen through smart glasses.

“The technology trend is the merging of physical and digital spaces. I think that’s going to be the next computing platform and eventually, it’s going to be as big as phones. We should think about that happening within the decade,” he adds.

Have you read?

How to follow davos 2023, we are closing the gap between technology and policy, 3. the rise of quantum computing.

Quantum computing won’t replace classical computing but it will begin to solve problems in the physical world - materials, chemistry, encryption and optimization problems - within a few years, according to Arvind Krishna , Chairman and CEO, IBM Corporation. Indeed, quantum computing is already so good you may want to think about it now. “I would strongly urge everybody to invest in quantum-proof decryption now for any data, that you really, really care about,” he advises.

4. 5G will create lots more use cases

5G will create a lot of new use cases including drone management, robotic surgery and autonomous vehicles, says Sunil Bharti Mittal , Chairman, Bharti Enterprises. Industrial applications will particularly benefit due to their larger capacity. “In the meanwhile, people will get used to better connections, higher speeds, and lower latency for their regular devices as well,” he adds, before warning: “It’s going to cost a lot of money.”

5. ChatGPT-like tech will become the norm

Large language models will become a given because they lower the cost of artificial intelligence (AI) by allowing you to have multiple models over one base, giving you a speed advantage, says Krishna . “Beyond language is going to be a given, language because code can be a form of language and then you can go to, ‘what else can be a form of language?’ Legal documents, regulatory work etc,” he adds.

6. Great things will need good data

The recent excitement around ChatGPT has demonstrated the potential of having large amounts of data and the great things you do with it, but it has also highlighted the need for ‘good’ data, says Julie Sweet , Chair and CEO, Accenture. “We love what’s going on right now, with everyone talking about it. Because in many cases people have been doubters about why you need to have really clean data connecting to external data, use these then foundational models on specific use cases – a lot is going to be in digital manufacturing, in agriculture, industrial use cases – and it reminds everyone you have to get the data right.”

7. The metaverse is evolving very quickly

The metaverse is evolving faster than expected because it taps into human need while also creating something new, observes Sweet . “With human need, what we’ve discovered is that when you immerse yourself in an experience together, you learn better and you can also do things better,” she says. “We estimate there will be $1 trillion of revenue influenced by the metaverse by 2025.”

8. We will see a democratization of services

Our grandchildren will live in a very different world thanks to the democratization of products and services that are currently only available to the elite or wealthy, predicts Mittal . “Sitting like this, in the metaverse, you’ll probably have a few million people join from around the world, to experience what we’re experiencing today,” he says. “You’re going to see the benefit of technology really impacting people’s lives on a daily basis, and they will live a very different life to us.”

Watch the full session here .

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The Impact of Digital Technologies

Technologies can help make our world fairer, more peaceful, and more just. Digital advances can support and accelerate achievement of each of the 17 Sustainable Development Goals – from ending extreme poverty to reducing maternal and infant mortality, promoting sustainable farming and decent work, and achieving universal literacy. But technologies can also threaten privacy, erode security and fuel inequality. They have implications for human rights and human agency. Like generations before, we – governments, businesses and individuals – have a choice to make in how we harness and manage new technologies.

A DIGITAL FUTURE FOR ALL?

Digital technologies have advanced more rapidly than any innovation in our history – reaching around 50 per cent of the developing world’s population in only two decades and transforming societies. By enhancing connectivity, financial inclusion, access to trade and public services, technology can be a great equaliser.

In the health sector, for instance, AI-enabled frontier technologies are helping to save lives, diagnose diseases and extend life expectancy. In education, virtual learning environments and distance learning have opened up programmes to students who would otherwise be excluded. Public services are also becoming more accessible and accountable through blockchain-powered systems, and less bureaucratically burdensome as a result of AI assistance.Big data can also support more responsive and accurate policies and programmes.

However, those yet to be connected remain cut off from the benefits of this new era and remain further behind. Many of the people left behind are women, the elderly, persons with disabilities or from ethnic or linguistic minorities, indigenous groups and residents of poor or remote areas. The pace of connectivity is slowing, even reversing, among some constituencies. For example, globally, the proportion of women using the internet is 12 per cent lower than that of men. While this gap narrowed in most regions between 2013 and 2017, it widened in the least developed countries from 30 per cent to 33 per cent.

The use of algorithms can replicate and even amplify human and systemic bias where they function on the basis of data which is not adequately diverse. Lack of diversity in the technology sector can mean that this challenge is not adequately addressed.

THE FUTURE OF WORK

Throughout history, technological revolutions have changed the labour force: creating new forms and patterns of work, making others obsolete, and leading to wider societal changes. This current wave of change is likely to have profound impacts. For example, the International Labour Organization estimates that the shift to a greener economy could create 24 million new jobs globally by 2030 through the adoption of sustainable practices in the energy sector, the use of electric vehicles and increasing energy efficiency in existing and future buildings.

Meanwhile, reports by groups such as McKinsey suggest that 800 million people could lose their jobs to automation by 2030 , while polls reveal that the majority of all employees worry that they do not have the necessary training or skills to get a well-paid job.

There is broad agreement that managing these trends will require changes in our approach to education, for instance, by placing more emphasis on science, technology, engineering, and maths; by teaching soft skills, and resilience; and by ensuring that people can re-skill and up-skill throughout their lifetimes. Unpaid work, for example childcare and elderly care in the home, will need to be better supported, especially as with the shifting age profile of global populations, the demands on these tasks are likely to increase.

THE FUTURE OF DATA

Today, digital technologies such as data pooling and AI are used to track and diagnose issues in agriculture, health, and the environment, or to perform daily tasks such as navigating traffic or paying a bill. They can be used to defend and exercise human rights – but they can also be used to violate them, for example, by monitoring our movements, purchases, conversations and behaviours. Governments and businesses increasingly have the tools to mine and exploit data for financial and other purposes.

However, personal data would become an asset to a person, if there were a formula for better regulation of personal data ownership. Data-powered technology has the potential to empower individuals, improve human welfare, and promote universal rights, depending on the type of protections put in place.

THE FUTURE OF SOCIAL MEDIA

Social media connects almost half of the entire global population . It enables people to make their voices heard and to talk to people across the world in real time. However, it can also reinforce prejudices and sow discord, by giving hate speech and misinformation a platform, or by amplifying echo chambers.

In this way, social media algorithms can fuel the fragmentation of societies around the world. And yet they also have the potential to do the opposite.

THE FUTURE OF CYBERSPACE

How to manage these developments is the subject of much discussion – nationally and internationally – at a time when geopolitical tensions are on the rise. The UN Secretary-General has warned of a ‘great fracture’ between world powers, each with their own internet and AI strategy, as well as dominant currency, trade and financial rules and contradictory geopolitical and military views. Such a divide could establish a digital Berlin Wall. Increasingly, digital cooperation between states – and a universal cyberspace that reflects global standards for peace and security, human rights and sustainable development – is seen as crucial to ensuring a united world. A ‘global commitment for digital cooperation’ is a key recommendation by the Secretary-General’s High-level Panel on Digital Cooperation .

FOR MORE INFORMATION

The Sustainable Development Goals

The Age of Digital Interdependence: Report of the UN Secretary-General’s High-level Panel on Digital Cooperation

ILO | Global Commission on the Future of Work

Secretary General’s Address to the 74th Session of the UN General Assembly

Secretary General’s Strategy on New Technology

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Home — Essay Samples — Information Science and Technology — Impact of Technology — How Technology Has Changed Our Lives

How Technology Has Changed Our Lives

• Categories: Impact of Technology

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Words: 1130 |

Updated: 9 November, 2023

Words: 1130 | Pages: 2 | 6 min read

Table of contents

Hook examples for technology essay, technology essay example.

• A Digital Revolution: Enter the era of smartphones, AI, and the Internet of Things, where technology is the driving force. Join me as we explore how technology has transformed our lives and the profound impact it has on society.
• An Intriguing Quote: Arthur C. Clarke once said, "Any sufficiently advanced technology is indistinguishable from magic." Let's delve into the magical world of modern technology and how it shapes our daily existence.
• The Paradox of Connectivity: Technology promises to connect us, yet it can also lead to isolation. Explore with me the paradox of our hyperconnected world and how it affects our relationships, both online and offline.
• The Impact on Work and Leisure: Discover how technology has revolutionized our work environments, blurring the lines between office and home. Together, we'll examine the changing landscape of leisure and entertainment in the digital age.
• Looking Ahead: As technology continues to advance, what lies on the horizon? Join me in discussing the future implications of emerging technologies and how they will further reshape our world in the years to come.

The Dark Side of Technological Advancement

• Increased Bullying
• Lack of Privacy
• Constant Distraction

Balancing Technology in Our Lives

Works cited.

• Anderson, M. (2018). The Effects of Technology on Teenagers. Verywell Family.
• Brown, B. W., & Bobkowski, P. S. (2011). Older and newer media: Patterns of use and effects on adolescents’ health and well-being. Journal of Research on Adolescence, 21(1), 95-113.
• Calvillo, D. P., & Downey, R. G. (2010). Mobile phones and interruption in college classrooms: Instructors’ attitudes, beliefs, and practices. Computers in Human Behavior, 26(2), 223-231.
• Clarke-Pearson, K., & O'Keeffe, G. (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127(4), 800-804.
• Livingstone, S., & Smith, P. K. (2014). Annual research review: Harms experienced by child users of online and mobile technologies: The nature, prevalence and management of sexual and aggressive risks in the digital age. Journal of Child Psychology and Psychiatry, 55(6), 635-654.
• Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105-114.
• Przybylski, A. K., & Weinstein, N. (2017). A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychological Science, 28(2), 204-215.
• Rosen, L. D., Lim, A. F., Carrier, L. M., & Cheever, N. A. (2011). An empirical examination of the educational impact of text message-induced task switching in the classroom: Educational implications and strategies to enhance learning. Psicologia Educativa, 17(2), 163-177.
• Schulte, B. (2018). The human costs of bringing smartphones to every student. The Atlantic.
• Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3-17.

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Tech at the edge: Trends reshaping the future of IT and business

It is easy to become numb to the onslaught of new technologies hitting the market, each with its own promise of changing (more often “revolutionizing”) the business world. But our analysis of some of the more meaningful tech trends lays out a convincing case that something significant is happening. 1 Michael Chui, Roger Roberts, and Lareina Yee, “ McKinsey Technology Trends Outlook 2022 ,” McKinsey, August 24, 2022.

These tech trends are generally accelerating the primary characteristics that have defined the digital era: granularity, speed, and scale. But it’s the magnitude of these changes—in computing power, bandwidth, and analytical sophistication—that is opening the door to new innovations, businesses, and business models.

The emergence of cloud and 5G , for example, exponentially increases compute power and network speeds that can enable greater innovation. Developments in the metaverse of augmented and virtual reality open the doors to virtual R&D via digital twins , for example, and immersive learning. Advances in AI, machine learning, and software 2.0 (machine-written code) bring a range of new services and products, from autonomous vehicles to connected homes, well within reach.

Much ink has been spilled on identifying tech trends, but less attention has been paid to the implications of those changes. To help understand how management will need to adapt in the face of these technology trends in the next three to five years, we spoke to business leaders and leading thinkers on the topic. We weren’t looking for prognostications; we wanted to explore realistic scenarios, their implications, and what senior executives might do to get ready.

The discussions pinpointed some broad, interrelated shifts, such as how technology’s radically increasing power is exerting a centrifugal force on the organization, pushing innovation to expert networks at the edges of the company; how the pace and proliferation of these innovations calls for radical new approaches to continuous learning built around skills deployed at points of need; how these democratizing forces mean that IT can no longer act as a centralized controller of technology deployment and operations but instead needs to become a master enabler and influencer; and how these new technologies are creating more data about, and touchpoints with, customers, which is reshaping the boundaries of trust and requiring a much broader understanding of a company’s security responsibilities.

1. Innovation at the edge

Key tech trends.

We estimate that 70 percent of companies will employ hybrid or multicloud management technologies, tools, and processes . 2 “ The top trends in tech ,” McKinsey, June 15, 2021. At the same time, 5G will deliver network speeds that are about ten times faster than current speeds on 4G LTE networks, 3 Irina Ivanova, “What consumers need to know about this week’s AT&T–Verizon 5G rollout,” CBS News, January 20, 2022. with expectations of speeds that are up to 100 times faster with 40 times faster latency. 4 “5G speed: 5G vs. 4G performance compared,” Tom’s Guide, June 1, 2021. By 2024, more than 50 percent of user touches will be augmented by AI-driven speech, written word, or computer-vision algorithms , 5 “ The top trends in tech ,” June 15, 2021. while global data creation is projected to grow to more than 180 zettabytes by 2025, up from 64.2 zettabytes in 2020. 6 “Amount of data created, consumed, and stored 2010–2025,” Statista Research Department, May 23, 2022. The low-code development platform market‘s compound annual growth rate (CAGR) is projected at about 30 percent through 2030. 7 “Global $187 billion low-code development platform market to 2030,” GlobeNewswire, November 10, 2020.

Shift: Innovation develops around personal networks of experts at the porous edge of the organization and is supported by capabilities that scale the benefits across the business.

These technologies promise access to virtually unlimited compute power and massive data sets, as well as a huge leap in bandwidth at low cost, making it cheaper and easier to test, launch, and scale innovations quickly. The resulting acceleration in innovation will mean that companies can expect more disruptions from more sources. Centralized strategic and innovation functions cannot hope to keep pace on their own. Companies will need to be much more involved in networks outside their organizations to spot, invest in, and even acquire promising opportunities.

Corporate venture-capital (VC) funds with centralized teams have looked to find and fund innovation, but their track record has been spotty, often because the teams lack the requisite skills and are simply too far removed from the constantly evolving needs of individual business units. Instead, companies will need to figure out how to tap their front lines, particularly business domain experts and technologists, to enable them to act, in effect, as the business’s VC arm. That’s because the people who are writing code and building solutions are often well plugged into strong external networks in their fields and have the expertise to evaluate new developments. One pharma company, for example, taps its own expert researchers in various fields, such as gene expression, who know well the people outside the company who are leaders in the field.

While companies will need to create incentives and opportunities for engineers to build up and engage with their networks, the key focus must be on empowering teams so they can spend their allocated budget as they see fit—for example, experimenting and failing without penalty (within boundaries) and deciding on technologies to meet their goals (within prescribed guidelines).

The IT organization of the future can play an important role in building up a scaling capability to make that innovation work for the business, something that has traditionally been a challenge. Individual developers or small teams working fast don’t tend to naturally think about how to scale an application. That issue is likely to be exacerbated as nontechnical users working in pockets across organizations use low-code/no-code (LC/NC) applications to design and build programs with point-and-click or pull-down-menu interfaces.

One pharma company has taken this idea to heart by giving local business units the flexibility to run with a nonstandard idea when it has proven to be better than what the company is already doing. In return for that flexibility, the business unit must commit to helping the rest of the organization use the new idea, and IT builds it into the company’s standards.

In considering how this scaling capability might work, companies could, for example, assign advanced developers to “productize” applications by refactoring code so they can scale. IT leadership can provide tools and platforms, reusable-code libraries that are easily accessible, and flexible, standards-based architecture so that innovations can be scaled across the business more easily.

Questions for leadership

• What incentives will best encourage engineers and domain experts to develop, maintain, and tap into their networks?
• What processes are in place for tracking and managing VC activity at the edge?
• What capabilities do you need to identify innovation opportunities and “industrialize” the best ones so they can be shared across the organization?

For more on how to empower workers at the edge, see “ Tech companies innovate at the edge. Legacy companies can too ,” in Harvard Business Review.

Would you like to learn more about McKinsey Digital ?

2. a perpetual-learning culture.

Advances in AI, machine learning, robotics, and other technologies have increased the pace of change tenfold . By 2025, we estimate that 50 billion devices will be connected to the Industrial Internet of Things (IIoT), while 70 percent of manufacturers are expected to be using digital twins regularly (by 2022). 8 “ The top trends in tech ,” June 15, 2021. Some 70 percent of new applications will use LC/NC technologies by 2025, up from less than 25 percent in 2020. 9 “Gartner says cloud will be the centerpiece of new digital experiences,” Gartner, November 10, 2021. The global metaverse revenue opportunity could approach $800 billion in 2024, up from about $500 billion in 2020. 10 Bloomberg Intelligence, “Metaverse may be $800 billion market, next tech platform,” Bloomberg, December 1, 2021. This proliferation of technological innovations means we can expect to experience more progress in the next decade than in the past 100 years combined, according to entrepreneur and futurist Peter Diamandis. 11 Peter Diamandis and Steven Kotler, The Future Is Faster than You Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives , New York: Simon & Schuster, 2020.

Shift: Tech literacy becomes core to every role, requiring learning to be continuous and built at the level of individual skills that are deployed at the point of need.

With the pace and proliferation of technologies pushing innovation to the edge of the organization, businesses need to be ready to incorporate the most promising options from across the front lines. This will create huge opportunities, but only for those companies that develop true tech intelligence through a perpetual-learning culture. The cornerstone of this effort includes training all levels of personnel, from “citizen developers” working with easy-to-use LC/NC tools or in entirely new environments such as the metaverse, to full-stack developers and engineers, who will need to continually evolve their skills to keep up with changing technologies. We’re already seeing situations where poorly trained employees use LC/NC to churn out suboptimal products.

While there will always be a need for more formalized paths for foundational learning, we anticipate an acceleration in the shift from teaching curricula periodically to continuous learning that can deliver varying technical skills across the entire organization. In practice, that will mean orienting employee development around delivering skills. This requires breaking down a capability into its smallest sets of composite skills. One large tech company, for example, created 146,000 skills data points for the 1,200 technical skills it was assessing.

The key point is that these skills “snippets”—such as a block of code or a video of a specific negotiating tactic—need to be integrated into the workflow so that they’re delivered when needed. This might be called a “LearnOps” approach, where learning is built into the operations. This integration mentality is established at Netflix, where data scientists partner directly with product managers, engineering teams, and other business units to design, execute, and learn from experiments. 12 Netflix Technology Blog , “Experimentation is a major focus of data science across Netflix,” blog entry by Martin Tingley et al., January 11, 2022.

As important as being able to deploy learning is building a learning culture by making continuous learning expected and easy to do. The way top engineers learn can be instructive. This is a community that is highly aware of the need to keep their skills up to date. They have ingrained habits of sharing code, and they gravitate to projects where they can learn. One advantage of using open source, for example, is the built-in community that constantly updates and reviews code. In the same spirit, we’re seeing companies budget extra time to allow people to try new tools or technologies when they’re building a product. Other companies are budgeting for “learning buffers” to allow for setbacks in product development that teams can learn from. 13 “ The big boost: How incumbents successfully scale their new businesses ,” McKinsey, August 27, 2020.

Netflix, which makes broad, open, and deliberate information sharing a core value, built the Netflix experimentation platform as an internal product that acts as a repository of solutions for future teams to reuse. It has a product manager and innovation road map, with the goal of making experimentation a simple and integrated part of the product life cycle. 14 Netflix Technology Blog , “Netflix: A culture of learning,” blog entry by Martin Tingley et al., January 25, 2022.

To support this kind of continuous learning and experimentation, companies will need to accept mistakes. The art will be in limiting the impact of potentially costly mistakes, such as the loss or misuse of customer data. IT will need to architect protocols, incentives, and systems to encourage good behaviors and reduce bad ones. Many companies are beginning to adopt practices such as automated testing to keep mistakes from happening in the first place ; creating spaces where mistakes won’t affect other applications or systems, such as isolation zones in cloud environments ; and building in resiliency protocols.

• Do you have a list of the most important skills your business needs?
• What is the minimum level of learning needed for advanced users of analytics and manipulators of data?
• How do you track what people are learning and whether that learning is effective and translating into better performance?

3. IT as a service

It is estimated that the global cloud microservices platform market will generate $4.2 billion in revenue by 2028, up from $952 million in 2020. 15 Cloud microservice platform market report , Research Dive, November 2021. GitHub has more than 200 million code repositories and expects 100 million software developers by 2025. 16 Paul Krill, “GitHub expects more than 100 million software developers by 2025,” InfoWorld, December 3, 2020. Nearly 90 percent of developers already use APIs. 17 Christina Voskoglou, “APIs have taken over software development,” Nordic APIs, October 27, 2020. Software 2.0 creates new ways of writing software and reduces complexity. Software sourced by companies from cloud-service platforms, open repositories, and software as a service (SaaS) is growing at a CAGR of 27.5 percent from 2021 to 2028. 18 Software as a service (SaaS) market, 2021–2028 , Fortune Business Insights, January 2022.

Shift: IT becomes the enabler of product innovation by serving small, interoperable blocks of code.

When innovation is pushed to the edge and a perpetual-learning culture permeates an organization, the role of IT shifts dramatically. IT can’t support this dynamic environment by sticking to its traditional role as a controlling entity managing technology at the center. The premium will now be on IT’s ability to enable innovation, requiring a shift in its traditional role as protector of big tech assets to a purveyor of small blocks of code. The gold standard of IT effectiveness will be its ability to help people stitch together snippets of code into a useful product.

We are already seeing what that might look like. Employees at G&J Pepsi-Cola Bottlers with little to no experience at software development created an app that examines images of a store shelf to identify the number and type of bottles on it, then automatically restocks it based on historic trends. 19 Adam Burden, “Low code/no code could reshape business innovation,” VentureBeat, February 5, 2022. One pharmaceutical company grew its low-code platform base from eight users to 1,400 in just one year . Business users outside of IT are now building applications with thousands of monthly sessions. 20 Shivam Srivastava, Kartik Trehan, Dilip Wagle, and Jane Wang, “ Developer Velocity: How software excellence fuels business performance ,” McKinsey, April 20, 2020. Companies that empower “citizen developers” score 33 percent higher on innovation compared with bottom-quartile companies that don’t provide that level of support, according to a McKinsey survey. 21 Shivam Srivastava, Kartik Trehan, Dilip Wagle, and Jane Wang, “ Developer Velocity: How software excellence fuels business performance ,” McKinsey, April 20, 2020.

These developments point toward much more of a “buffet” approach to technology, where IT builds useful blocks of reusable code, sometimes assembles them into specific products, and makes them available through a user-friendly cataloging system for the business to use to create the products it needs. IT provides guiderails, such as API standards and directives on the environments in which the code might be most useful; protects the most sensitive information, such as customer data and financial records; and tracks their adoption. This tracking capability will become particularly crucial as bots, AI, algorithms, and APIs proliferate. Transparency isn’t sufficient. IT will need to make sense of all the activity through advanced tech performance and management capabilities and the development of new roles, such as data diagnosticians and bot managers.

This IT-as-a-service approach puts the product at the center of the operating model, requiring a commitment to organizing IT around product management . Some companies have been moving in this direction. But reaching the scale needed to support fast-paced and more diffuse innovation will require a deeper commitment to product owners, working with leaders in the business side of the house, to run teams with real P&L responsibility. Many organizations, from traditional enterprises to digital natives, have found that putting in place product leaders who set overall product and portfolio strategy, drive execution, and empower product owners to drive innovation aligned with business outcomes and P&L metrics can increase the return on the funding that flows to technology delivery and quicken the pace of innovation.

• Do you have a vision for how the role of the IT organization will change to enable democratization of technology?
• How will you elevate the role of the technology product manager, and do you have a road map for developing that role?
• What systems will you need to put in place to manage and track the use, reuse, and performance of code?

McKinsey Technology Trends Outlook 2022

4. expanded trust boundaries.

It was estimated that almost 100 percent of biometrics-capable devices (such as smartphones) will be using biometrics for transactions by 2022. 22 “Usage of biometric technology in transactions with mobile devices worldwide 2016–2022”, Statista Research Department, June 13, 2022. The effectiveness of these technologies has advanced dramatically, with the best facial-identification algorithms having improved 50 times since 2014. 23 William Crumpler, “How accurate are facial recognition systems—and why does it matter?” Center for Strategies and International Studies (CSIS), April 14, 2020. These developments are contributing to profound unease in the relationship between technology and consumers of technology. The Pearson Institute and the Associated Press-NORC Center for Public Affairs Research shows that “about two-thirds of Americans are very or extremely concerned about hacking that involves their personal information, financial institutions, government agencies, or certain utilities.” 24 Chuck Brooks, “More alarming cybersecurity stats for 2021!” Forbes , October 24, 2021.

Shift: Trust expands to cover a broader array of stakeholder concerns and become an enterprise-wide responsibility.

These enormous shifts in technology power and capacity will create many more touchpoints with customers and an exponential wave of new data about customers. Even as IT’s role within the organization becomes more that of an enabler, the expanding digital landscape means that IT must broaden its trust capabilities around security, privacy, and cyber . To date, consumers have largely embraced the convenience that technology provides, from ordering a product online to adjusting the temperature in their homes remotely to monitoring their health through personal devices. In exchange for these conveniences, consumers have traditionally been willing to provide some personal information. But a steady undercurrent of privacy and trust concerns around these ever-more-sophisticated conveniences is raising the stakes on the broad topic of trust. Consumers are becoming more aware of their identity rights, making decisions based on values, and demanding the ethical use of data and responsible AI .

The most obvious concern is around cybersecurity , an ongoing issue that is already on the board-level agenda. But tech-driven trust issues are much broader and are driven by three characteristics. One is the sheer quantity of personal data, such as biometrics, that companies and governments collect, creating concerns about privacy and data misuse. The second is that personal security issues are becoming more pervasive in the physical world. Wired homes, connected cars, and the Internet of Medical Things, for example, are all vectors for attack that can affect people’s well-being. Third is the issue that advanced analytics seem too complex to be understood and controlled, leading to deep unease about people’s relationship with technology. This issue is driving the development of “ explainable AI ” and the movement to debias AI.

Adding to the complexity is the frequent need to manage and secure trust across an entire ecosystem of technologies. Take the wired home, for example. The proliferation of devices—think virtual assistants, security, communications, power management, and entertainment systems—means that a large group of providers will need to agree on standards for managing, in effect, an interconnected security net in the home.

These developments require a complex extension of the boundaries of trust. The significant advantages that many incumbents enjoy—existing relationships with customers and proprietary data—are at risk unless businesses rethink how they manage and nurture that trust. Companies need to consider putting identity and trust management at the core of their customer experience and business processes. That can happen effectively only when companies assign a dedicated leader with real power and board-level prioritization with enterprise-wide responsibility across the entire trust and security landscape. Given the tech underpinnings of this trust environment, IT will need to play a key role in monitoring and remediating, such as assessing the impact of new legislation on AI algorithms, tracking incidents, identifying the number and nature of high-risk data-processing activities and automated decisions, and—perhaps most important—monitoring consumer trust levels and the issues that affect them.

• Who is responsible for the enterprise-wide trust and risk landscape?
• How have you integrated your efforts around customer trust with overall cybersecurity processes?
• What privacy, trust, and security processes are in place to manage the entire life cycle of your data?

It is inevitable that the pace of technological change will continue to accelerate. The successful technology leader of the future will not simply need to adopt new technologies but to build capabilities to absorb continuous change and make it a source of competitive advantage.

Steve Van Kuiken is a senior partner in McKinsey’s New Jersey office.

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Thinking Through the Ethics of New Tech…Before There’s a Problem

• Beena Ammanath

Historically, it’s been a matter of trial and error. There’s a better way.

There’s a familiar pattern when a new technology is introduced: It grows rapidly, comes to permeate our lives, and only then does society begin to see and address the problems it creates. But is it possible to head off possible problems? While companies can’t predict the future, they can adopt a sound framework that will help them prepare for and respond to unexpected impacts. First, when rolling out new tech, it’s vital to pause and brainstorm potential risks, consider negative outcomes, and imagine unintended consequences. Second, it can also be clarifying to ask, early on, who would be accountable if an organization has to answer for the unintended or negative consequences of its new technology, whether that’s testifying to Congress, appearing in court, or answering questions from the media. Third, appoint a chief technology ethics officer.

We all want the technology in our lives to fulfill its promise — to delight us more than it scares us, to help much more than it harms. We also know that every new technology needs to earn our trust. Too often the pattern goes like this: A technology is introduced, grows rapidly, comes to permeate our lives, and only then does society begin to see and address any problems it might create.

• BA Beena Ammanath is the Executive Director of the global Deloitte AI Institute, author of the book “Trustworthy AI,” founder of the non-profit Humans For AI, and also leads Trustworthy and Ethical Tech for Deloitte. She is an award-winning senior executive with extensive global experience in AI and digital transformation, spanning across e-commerce, finance, marketing, telecom, retail, software products, services and industrial domains with companies such as HPE, GE, Thomson Reuters, British Telecom, Bank of America, and e*trade.

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REALIZING THE PROMISE:

Leading up to the 75th anniversary of the UN General Assembly, this “Realizing the promise: How can education technology improve learning for all?” publication kicks off the Center for Universal Education’s first playbook in a series to help improve education around the world.

It is intended as an evidence-based tool for ministries of education, particularly in low- and middle-income countries, to adopt and more successfully invest in education technology.

While there is no single education initiative that will achieve the same results everywhere—as school systems differ in learners and educators, as well as in the availability and quality of materials and technologies—an important first step is understanding how technology is used given specific local contexts and needs.

The surveys in this playbook are designed to be adapted to collect this information from educators, learners, and school leaders and guide decisionmakers in expanding the use of technology.  

Introduction

While technology has disrupted most sectors of the economy and changed how we communicate, access information, work, and even play, its impact on schools, teaching, and learning has been much more limited. We believe that this limited impact is primarily due to technology being been used to replace analog tools, without much consideration given to playing to technology’s comparative advantages. These comparative advantages, relative to traditional “chalk-and-talk” classroom instruction, include helping to scale up standardized instruction, facilitate differentiated instruction, expand opportunities for practice, and increase student engagement. When schools use technology to enhance the work of educators and to improve the quality and quantity of educational content, learners will thrive.

Further, COVID-19 has laid bare that, in today’s environment where pandemics and the effects of climate change are likely to occur, schools cannot always provide in-person education—making the case for investing in education technology.

Here we argue for a simple yet surprisingly rare approach to education technology that seeks to:

• Understand the needs, infrastructure, and capacity of a school system—the diagnosis;
• Survey the best available evidence on interventions that match those conditions—the evidence; and
• Closely monitor the results of innovations before they are scaled up—the prognosis.

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The framework.

Our approach builds on a simple yet intuitive theoretical framework created two decades ago by two of the most prominent education researchers in the United States, David K. Cohen and Deborah Loewenberg Ball. They argue that what matters most to improve learning is the interactions among educators and learners around educational materials. We believe that the failed school-improvement efforts in the U.S. that motivated Cohen and Ball’s framework resemble the ed-tech reforms in much of the developing world to date in the lack of clarity improving the interactions between educators, learners, and the educational material. We build on their framework by adding parents as key agents that mediate the relationships between learners and educators and the material (Figure 1).

Figure 1: The instructional core

Adapted from Cohen and Ball (1999)

As the figure above suggests, ed-tech interventions can affect the instructional core in a myriad of ways. Yet, just because technology can do something, it does not mean it should. School systems in developing countries differ along many dimensions and each system is likely to have different needs for ed-tech interventions, as well as different infrastructure and capacity to enact such interventions.

The diagnosis:

How can school systems assess their needs and preparedness.

A useful first step for any school system to determine whether it should invest in education technology is to diagnose its:

• Specific needs to improve student learning (e.g., raising the average level of achievement, remediating gaps among low performers, and challenging high performers to develop higher-order skills);
• Infrastructure to adopt technology-enabled solutions (e.g., electricity connection, availability of space and outlets, stock of computers, and Internet connectivity at school and at learners’ homes); and
• Capacity to integrate technology in the instructional process (e.g., learners’ and educators’ level of familiarity and comfort with hardware and software, their beliefs about the level of usefulness of technology for learning purposes, and their current uses of such technology).

Before engaging in any new data collection exercise, school systems should take full advantage of existing administrative data that could shed light on these three main questions. This could be in the form of internal evaluations but also international learner assessments, such as the Program for International Student Assessment (PISA), the Trends in International Mathematics and Science Study (TIMSS), and/or the Progress in International Literacy Study (PIRLS), and the Teaching and Learning International Study (TALIS). But if school systems lack information on their preparedness for ed-tech reforms or if they seek to complement existing data with a richer set of indicators, we developed a set of surveys for learners, educators, and school leaders. Download the full report to see how we map out the main aspects covered by these surveys, in hopes of highlighting how they could be used to inform decisions around the adoption of ed-tech interventions.

The evidence:

How can school systems identify promising ed-tech interventions.

There is no single “ed-tech” initiative that will achieve the same results everywhere, simply because school systems differ in learners and educators, as well as in the availability and quality of materials and technologies. Instead, to realize the potential of education technology to accelerate student learning, decisionmakers should focus on four potential uses of technology that play to its comparative advantages and complement the work of educators to accelerate student learning (Figure 2). These comparative advantages include:

• Scaling up quality instruction, such as through prerecorded quality lessons.
• Facilitating differentiated instruction, through, for example, computer-adaptive learning and live one-on-one tutoring.
• Expanding opportunities to practice.
• Increasing learner engagement through videos and games.

Figure 2: Comparative advantages of technology

Here we review the evidence on ed-tech interventions from 37 studies in 20 countries*, organizing them by comparative advantage. It’s important to note that ours is not the only way to classify these interventions (e.g., video tutorials could be considered as a strategy to scale up instruction or increase learner engagement), but we believe it may be useful to highlight the needs that they could address and why technology is well positioned to do so.

When discussing specific studies, we report the magnitude of the effects of interventions using standard deviations (SDs). SDs are a widely used metric in research to express the effect of a program or policy with respect to a business-as-usual condition (e.g., test scores). There are several ways to make sense of them. One is to categorize the magnitude of the effects based on the results of impact evaluations. In developing countries, effects below 0.1 SDs are considered to be small, effects between 0.1 and 0.2 SDs are medium, and those above 0.2 SDs are large (for reviews that estimate the average effect of groups of interventions, called “meta analyses,” see e.g., Conn, 2017; Kremer, Brannen, & Glennerster, 2013; McEwan, 2014; Snilstveit et al., 2015; Evans & Yuan, 2020.)

*In surveying the evidence, we began by compiling studies from prior general and ed-tech specific evidence reviews that some of us have written and from ed-tech reviews conducted by others. Then, we tracked the studies cited by the ones we had previously read and reviewed those, as well. In identifying studies for inclusion, we focused on experimental and quasi-experimental evaluations of education technology interventions from pre-school to secondary school in low- and middle-income countries that were released between 2000 and 2020. We only included interventions that sought to improve student learning directly (i.e., students’ interaction with the material), as opposed to interventions that have impacted achievement indirectly, by reducing teacher absence or increasing parental engagement. This process yielded 37 studies in 20 countries (see the full list of studies in Appendix B).

Scaling up standardized instruction

One of the ways in which technology may improve the quality of education is through its capacity to deliver standardized quality content at scale. This feature of technology may be particularly useful in three types of settings: (a) those in “hard-to-staff” schools (i.e., schools that struggle to recruit educators with the requisite training and experience—typically, in rural and/or remote areas) (see, e.g., Urquiola & Vegas, 2005); (b) those in which many educators are frequently absent from school (e.g., Chaudhury, Hammer, Kremer, Muralidharan, & Rogers, 2006; Muralidharan, Das, Holla, & Mohpal, 2017); and/or (c) those in which educators have low levels of pedagogical and subject matter expertise (e.g., Bietenbeck, Piopiunik, & Wiederhold, 2018; Bold et al., 2017; Metzler & Woessmann, 2012; Santibañez, 2006) and do not have opportunities to observe and receive feedback (e.g., Bruns, Costa, & Cunha, 2018; Cilliers, Fleisch, Prinsloo, & Taylor, 2018). Technology could address this problem by: (a) disseminating lessons delivered by qualified educators to a large number of learners (e.g., through prerecorded or live lessons); (b) enabling distance education (e.g., for learners in remote areas and/or during periods of school closures); and (c) distributing hardware preloaded with educational materials.

Prerecorded lessons

Technology seems to be well placed to amplify the impact of effective educators by disseminating their lessons. Evidence on the impact of prerecorded lessons is encouraging, but not conclusive. Some initiatives that have used short instructional videos to complement regular instruction, in conjunction with other learning materials, have raised student learning on independent assessments. For example, Beg et al. (2020) evaluated an initiative in Punjab, Pakistan in which grade 8 classrooms received an intervention that included short videos to substitute live instruction, quizzes for learners to practice the material from every lesson, tablets for educators to learn the material and follow the lesson, and LED screens to project the videos onto a classroom screen. After six months, the intervention improved the performance of learners on independent tests of math and science by 0.19 and 0.24 SDs, respectively but had no discernible effect on the math and science section of Punjab’s high-stakes exams.

One study suggests that approaches that are far less technologically sophisticated can also improve learning outcomes—especially, if the business-as-usual instruction is of low quality. For example, Naslund-Hadley, Parker, and Hernandez-Agramonte (2014) evaluated a preschool math program in Cordillera, Paraguay that used audio segments and written materials four days per week for an hour per day during the school day. After five months, the intervention improved math scores by 0.16 SDs, narrowing gaps between low- and high-achieving learners, and between those with and without educators with formal training in early childhood education.

Yet, the integration of prerecorded material into regular instruction has not always been successful. For example, de Barros (2020) evaluated an intervention that combined instructional videos for math and science with infrastructure upgrades (e.g., two “smart” classrooms, two TVs, and two tablets), printed workbooks for students, and in-service training for educators of learners in grades 9 and 10 in Haryana, India (all materials were mapped onto the official curriculum). After 11 months, the intervention negatively impacted math achievement (by 0.08 SDs) and had no effect on science (with respect to business as usual classes). It reduced the share of lesson time that educators devoted to instruction and negatively impacted an index of instructional quality. Likewise, Seo (2017) evaluated several combinations of infrastructure (solar lights and TVs) and prerecorded videos (in English and/or bilingual) for grade 11 students in northern Tanzania and found that none of the variants improved student learning, even when the videos were used. The study reports effects from the infrastructure component across variants, but as others have noted (Muralidharan, Romero, & Wüthrich, 2019), this approach to estimating impact is problematic.

A very similar intervention delivered after school hours, however, had sizeable effects on learners’ basic skills. Chiplunkar, Dhar, and Nagesh (2020) evaluated an initiative in Chennai (the capital city of the state of Tamil Nadu, India) delivered by the same organization as above that combined short videos that explained key concepts in math and science with worksheets, facilitator-led instruction, small groups for peer-to-peer learning, and occasional career counseling and guidance for grade 9 students. These lessons took place after school for one hour, five times a week. After 10 months, it had large effects on learners’ achievement as measured by tests of basic skills in math and reading, but no effect on a standardized high-stakes test in grade 10 or socio-emotional skills (e.g., teamwork, decisionmaking, and communication).

Drawing general lessons from this body of research is challenging for at least two reasons. First, all of the studies above have evaluated the impact of prerecorded lessons combined with several other components (e.g., hardware, print materials, or other activities). Therefore, it is possible that the effects found are due to these additional components, rather than to the recordings themselves, or to the interaction between the two (see Muralidharan, 2017 for a discussion of the challenges of interpreting “bundled” interventions). Second, while these studies evaluate some type of prerecorded lessons, none examines the content of such lessons. Thus, it seems entirely plausible that the direction and magnitude of the effects depends largely on the quality of the recordings (e.g., the expertise of the educator recording it, the amount of preparation that went into planning the recording, and its alignment with best teaching practices).

These studies also raise three important questions worth exploring in future research. One of them is why none of the interventions discussed above had effects on high-stakes exams, even if their materials are typically mapped onto the official curriculum. It is possible that the official curricula are simply too challenging for learners in these settings, who are several grade levels behind expectations and who often need to reinforce basic skills (see Pritchett & Beatty, 2015). Another question is whether these interventions have long-term effects on teaching practices. It seems plausible that, if these interventions are deployed in contexts with low teaching quality, educators may learn something from watching the videos or listening to the recordings with learners. Yet another question is whether these interventions make it easier for schools to deliver instruction to learners whose native language is other than the official medium of instruction.

Distance education

Technology can also allow learners living in remote areas to access education. The evidence on these initiatives is encouraging. For example, Johnston and Ksoll (2017) evaluated a program that broadcasted live instruction via satellite to rural primary school students in the Volta and Greater Accra regions of Ghana. For this purpose, the program also equipped classrooms with the technology needed to connect to a studio in Accra, including solar panels, a satellite modem, a projector, a webcam, microphones, and a computer with interactive software. After two years, the intervention improved the numeracy scores of students in grades 2 through 4, and some foundational literacy tasks, but it had no effect on attendance or classroom time devoted to instruction, as captured by school visits. The authors interpreted these results as suggesting that the gains in achievement may be due to improving the quality of instruction that children received (as opposed to increased instructional time). Naik, Chitre, Bhalla, and Rajan (2019) evaluated a similar program in the Indian state of Karnataka and also found positive effects on learning outcomes, but it is not clear whether those effects are due to the program or due to differences in the groups of students they compared to estimate the impact of the initiative.

In one context (Mexico), this type of distance education had positive long-term effects. Navarro-Sola (2019) took advantage of the staggered rollout of the telesecundarias (i.e., middle schools with lessons broadcasted through satellite TV) in 1968 to estimate its impact. The policy had short-term effects on students’ enrollment in school: For every telesecundaria per 50 children, 10 students enrolled in middle school and two pursued further education. It also had a long-term influence on the educational and employment trajectory of its graduates. Each additional year of education induced by the policy increased average income by nearly 18 percent. This effect was attributable to more graduates entering the labor force and shifting from agriculture and the informal sector. Similarly, Fabregas (2019) leveraged a later expansion of this policy in 1993 and found that each additional telesecundaria per 1,000 adolescents led to an average increase of 0.2 years of education, and a decline in fertility for women, but no conclusive evidence of long-term effects on labor market outcomes.

It is crucial to interpret these results keeping in mind the settings where the interventions were implemented. As we mention above, part of the reason why they have proven effective is that the “counterfactual” conditions for learning (i.e., what would have happened to learners in the absence of such programs) was either to not have access to schooling or to be exposed to low-quality instruction. School systems interested in taking up similar interventions should assess the extent to which their learners (or parts of their learner population) find themselves in similar conditions to the subjects of the studies above. This illustrates the importance of assessing the needs of a system before reviewing the evidence.

Preloaded hardware

Technology also seems well positioned to disseminate educational materials. Specifically, hardware (e.g., desktop computers, laptops, or tablets) could also help deliver educational software (e.g., word processing, reference texts, and/or games). In theory, these materials could not only undergo a quality assurance review (e.g., by curriculum specialists and educators), but also draw on the interactions with learners for adjustments (e.g., identifying areas needing reinforcement) and enable interactions between learners and educators.

In practice, however, most initiatives that have provided learners with free computers, laptops, and netbooks do not leverage any of the opportunities mentioned above. Instead, they install a standard set of educational materials and hope that learners find them helpful enough to take them up on their own. Students rarely do so, and instead use the laptops for recreational purposes—often, to the detriment of their learning (see, e.g., Malamud & Pop-Eleches, 2011). In fact, free netbook initiatives have not only consistently failed to improve academic achievement in math or language (e.g., Cristia et al., 2017), but they have had no impact on learners’ general computer skills (e.g., Beuermann et al., 2015). Some of these initiatives have had small impacts on cognitive skills, but the mechanisms through which those effects occurred remains unclear.

To our knowledge, the only successful deployment of a free laptop initiative was one in which a team of researchers equipped the computers with remedial software. Mo et al. (2013) evaluated a version of the One Laptop per Child (OLPC) program for grade 3 students in migrant schools in Beijing, China in which the laptops were loaded with a remedial software mapped onto the national curriculum for math (similar to the software products that we discuss under “practice exercises” below). After nine months, the program improved math achievement by 0.17 SDs and computer skills by 0.33 SDs. If a school system decides to invest in free laptops, this study suggests that the quality of the software on the laptops is crucial.

To date, however, the evidence suggests that children do not learn more from interacting with laptops than they do from textbooks. For example, Bando, Gallego, Gertler, and Romero (2016) compared the effect of free laptop and textbook provision in 271 elementary schools in disadvantaged areas of Honduras. After seven months, students in grades 3 and 6 who had received the laptops performed on par with those who had received the textbooks in math and language. Further, even if textbooks essentially become obsolete at the end of each school year, whereas laptops can be reloaded with new materials for each year, the costs of laptop provision (not just the hardware, but also the technical assistance, Internet, and training associated with it) are not yet low enough to make them a more cost-effective way of delivering content to learners.

Evidence on the provision of tablets equipped with software is encouraging but limited. For example, de Hoop et al. (2020) evaluated a composite intervention for first grade students in Zambia’s Eastern Province that combined infrastructure (electricity via solar power), hardware (projectors and tablets), and educational materials (lesson plans for educators and interactive lessons for learners, both loaded onto the tablets and mapped onto the official Zambian curriculum). After 14 months, the intervention had improved student early-grade reading by 0.4 SDs, oral vocabulary scores by 0.25 SDs, and early-grade math by 0.22 SDs. It also improved students’ achievement by 0.16 on a locally developed assessment. The multifaceted nature of the program, however, makes it challenging to identify the components that are driving the positive effects. Pitchford (2015) evaluated an intervention that provided tablets equipped with educational “apps,” to be used for 30 minutes per day for two months to develop early math skills among students in grades 1 through 3 in Lilongwe, Malawi. The evaluation found positive impacts in math achievement, but the main study limitation is that it was conducted in a single school.

Facilitating differentiated instruction

Another way in which technology may improve educational outcomes is by facilitating the delivery of differentiated or individualized instruction. Most developing countries massively expanded access to schooling in recent decades by building new schools and making education more affordable, both by defraying direct costs, as well as compensating for opportunity costs (Duflo, 2001; World Bank, 2018). These initiatives have not only rapidly increased the number of learners enrolled in school, but have also increased the variability in learner’ preparation for schooling. Consequently, a large number of learners perform well below grade-based curricular expectations (see, e.g., Duflo, Dupas, & Kremer, 2011; Pritchett & Beatty, 2015). These learners are unlikely to get much from “one-size-fits-all” instruction, in which a single educator delivers instruction deemed appropriate for the middle (or top) of the achievement distribution (Banerjee & Duflo, 2011). Technology could potentially help these learners by providing them with: (a) instruction and opportunities for practice that adjust to the level and pace of preparation of each individual (known as “computer-adaptive learning” (CAL)); or (b) live, one-on-one tutoring.

Computer-adaptive learning

One of the main comparative advantages of technology is its ability to diagnose students’ initial learning levels and assign students to instruction and exercises of appropriate difficulty. No individual educator—no matter how talented—can be expected to provide individualized instruction to all learners in his/her class simultaneously . In this respect, technology is uniquely positioned to complement traditional teaching. This use of technology could help learners master basic skills and help them get more out of schooling.

Although many software products evaluated in recent years have been categorized as CAL, many rely on a relatively coarse level of differentiation at an initial stage (e.g., a diagnostic test) without further differentiation. We discuss these initiatives under the category of “increasing opportunities for practice” below. CAL initiatives complement an initial diagnostic with dynamic adaptation (i.e., at each response or set of responses from learners) to adjust both the initial level of difficulty and rate at which it increases or decreases, depending on whether learners’ responses are correct or incorrect.

Existing evidence on this specific type of programs is highly promising. Most famously, Banerjee et al. (2007) evaluated CAL software in Vadodara, in the Indian state of Gujarat, in which grade 4 students were offered two hours of shared computer time per week before and after school, during which they played games that involved solving math problems. The level of difficulty of such problems adjusted based on students’ answers. This program improved math achievement by 0.35 and 0.47 SDs after one and two years of implementation, respectively. Consistent with the promise of personalized learning, the software improved achievement for all students. In fact, one year after the end of the program, students assigned to the program still performed 0.1 SDs better than those assigned to a business as usual condition. More recently, Muralidharan, et al. (2019) evaluated a “blended learning” initiative in which students in grades 4 through 9 in Delhi, India received 45 minutes of interaction with CAL software for math and language, and 45 minutes of small group instruction before or after going to school. After only 4.5 months, the program improved achievement by 0.37 SDs in math and 0.23 SDs in Hindi. While all learners benefited from the program in absolute terms, the lowest performing learners benefited the most in relative terms, since they were learning very little in school.

We see two important limitations from this body of research. First, to our knowledge, none of these initiatives has been evaluated when implemented during the school day. Therefore, it is not possible to distinguish the effect of the adaptive software from that of additional instructional time. Second, given that most of these programs were facilitated by local instructors, attempts to distinguish the effect of the software from that of the instructors has been mostly based on noncausal evidence. A frontier challenge in this body of research is to understand whether CAL software can increase the effectiveness of school-based instruction by substituting part of the regularly scheduled time for math and language instruction.

Live one-on-one tutoring

Recent improvements in the speed and quality of videoconferencing, as well as in the connectivity of remote areas, have enabled yet another way in which technology can help personalization: live (i.e., real-time) one-on-one tutoring. While the evidence on in-person tutoring is scarce in developing countries, existing studies suggest that this approach works best when it is used to personalize instruction (see, e.g., Banerjee et al., 2007; Banerji, Berry, & Shotland, 2015; Cabezas, Cuesta, & Gallego, 2011).

There are almost no studies on the impact of online tutoring—possibly, due to the lack of hardware and Internet connectivity in low- and middle-income countries. One exception is Chemin and Oledan (2020)’s recent evaluation of an online tutoring program for grade 6 students in Kianyaga, Kenya to learn English from volunteers from a Canadian university via Skype ( videoconferencing software) for one hour per week after school. After 10 months, program beneficiaries performed 0.22 SDs better in a test of oral comprehension, improved their comfort using technology for learning, and became more willing to engage in cross-cultural communication. Importantly, while the tutoring sessions used the official English textbooks and sought in part to help learners with their homework, tutors were trained on several strategies to teach to each learner’s individual level of preparation, focusing on basic skills if necessary. To our knowledge, similar initiatives within a country have not yet been rigorously evaluated.

Expanding opportunities for practice

A third way in which technology may improve the quality of education is by providing learners with additional opportunities for practice. In many developing countries, lesson time is primarily devoted to lectures, in which the educator explains the topic and the learners passively copy explanations from the blackboard. This setup leaves little time for in-class practice. Consequently, learners who did not understand the explanation of the material during lecture struggle when they have to solve homework assignments on their own. Technology could potentially address this problem by allowing learners to review topics at their own pace.

Practice exercises

Technology can help learners get more out of traditional instruction by providing them with opportunities to implement what they learn in class. This approach could, in theory, allow some learners to anchor their understanding of the material through trial and error (i.e., by realizing what they may not have understood correctly during lecture and by getting better acquainted with special cases not covered in-depth in class).

Existing evidence on practice exercises reflects both the promise and the limitations of this use of technology in developing countries. For example, Lai et al. (2013) evaluated a program in Shaanxi, China where students in grades 3 and 5 were required to attend two 40-minute remedial sessions per week in which they first watched videos that reviewed the material that had been introduced in their math lessons that week and then played games to practice the skills introduced in the video. After four months, the intervention improved math achievement by 0.12 SDs. Many other evaluations of comparable interventions have found similar small-to-moderate results (see, e.g., Lai, Luo, Zhang, Huang, & Rozelle, 2015; Lai et al., 2012; Mo et al., 2015; Pitchford, 2015). These effects, however, have been consistently smaller than those of initiatives that adjust the difficulty of the material based on students’ performance (e.g., Banerjee et al., 2007; Muralidharan, et al., 2019). We hypothesize that these programs do little for learners who perform several grade levels behind curricular expectations, and who would benefit more from a review of foundational concepts from earlier grades.

We see two important limitations from this research. First, most initiatives that have been evaluated thus far combine instructional videos with practice exercises, so it is hard to know whether their effects are driven by the former or the latter. In fact, the program in China described above allowed learners to ask their peers whenever they did not understand a difficult concept, so it potentially also captured the effect of peer-to-peer collaboration. To our knowledge, no studies have addressed this gap in the evidence.

Second, most of these programs are implemented before or after school, so we cannot distinguish the effect of additional instructional time from that of the actual opportunity for practice. The importance of this question was first highlighted by Linden (2008), who compared two delivery mechanisms for game-based remedial math software for students in grades 2 and 3 in a network of schools run by a nonprofit organization in Gujarat, India: one in which students interacted with the software during the school day and another one in which students interacted with the software before or after school (in both cases, for three hours per day). After a year, the first version of the program had negatively impacted students’ math achievement by 0.57 SDs and the second one had a null effect. This study suggested that computer-assisted learning is a poor substitute for regular instruction when it is of high quality, as was the case in this well-functioning private network of schools.

In recent years, several studies have sought to remedy this shortcoming. Mo et al. (2014) were among the first to evaluate practice exercises delivered during the school day. They evaluated an initiative in Shaanxi, China in which students in grades 3 and 5 were required to interact with the software similar to the one in Lai et al. (2013) for two 40-minute sessions per week. The main limitation of this study, however, is that the program was delivered during regularly scheduled computer lessons, so it could not determine the impact of substituting regular math instruction. Similarly, Mo et al. (2020) evaluated a self-paced and a teacher-directed version of a similar program for English for grade 5 students in Qinghai, China. Yet, the key shortcoming of this study is that the teacher-directed version added several components that may also influence achievement, such as increased opportunities for teachers to provide students with personalized assistance when they struggled with the material. Ma, Fairlie, Loyalka, and Rozelle (2020) compared the effectiveness of additional time-delivered remedial instruction for students in grades 4 to 6 in Shaanxi, China through either computer-assisted software or using workbooks. This study indicates whether additional instructional time is more effective when using technology, but it does not address the question of whether school systems may improve the productivity of instructional time during the school day by substituting educator-led with computer-assisted instruction.

Increasing learner engagement

Another way in which technology may improve education is by increasing learners’ engagement with the material. In many school systems, regular “chalk and talk” instruction prioritizes time for educators’ exposition over opportunities for learners to ask clarifying questions and/or contribute to class discussions. This, combined with the fact that many developing-country classrooms include a very large number of learners (see, e.g., Angrist & Lavy, 1999; Duflo, Dupas, & Kremer, 2015), may partially explain why the majority of those students are several grade levels behind curricular expectations (e.g., Muralidharan, et al., 2019; Muralidharan & Zieleniak, 2014; Pritchett & Beatty, 2015). Technology could potentially address these challenges by: (a) using video tutorials for self-paced learning and (b) presenting exercises as games and/or gamifying practice.

Video tutorials

Technology can potentially increase learner effort and understanding of the material by finding new and more engaging ways to deliver it. Video tutorials designed for self-paced learning—as opposed to videos for whole class instruction, which we discuss under the category of “prerecorded lessons” above—can increase learner effort in multiple ways, including: allowing learners to focus on topics with which they need more help, letting them correct errors and misconceptions on their own, and making the material appealing through visual aids. They can increase understanding by breaking the material into smaller units and tackling common misconceptions.

In spite of the popularity of instructional videos, there is relatively little evidence on their effectiveness. Yet, two recent evaluations of different versions of the Khan Academy portal, which mainly relies on instructional videos, offer some insight into their impact. First, Ferman, Finamor, and Lima (2019) evaluated an initiative in 157 public primary and middle schools in five cities in Brazil in which the teachers of students in grades 5 and 9 were taken to the computer lab to learn math from the platform for 50 minutes per week. The authors found that, while the intervention slightly improved learners’ attitudes toward math, these changes did not translate into better performance in this subject. The authors hypothesized that this could be due to the reduction of teacher-led math instruction.

More recently, Büchel, Jakob, Kühnhanss, Steffen, and Brunetti (2020) evaluated an after-school, offline delivery of the Khan Academy portal in grades 3 through 6 in 302 primary schools in Morazán, El Salvador. Students in this study received 90 minutes per week of additional math instruction (effectively nearly doubling total math instruction per week) through teacher-led regular lessons, teacher-assisted Khan Academy lessons, or similar lessons assisted by technical supervisors with no content expertise. (Importantly, the first group provided differentiated instruction, which is not the norm in Salvadorian schools). All three groups outperformed both schools without any additional lessons and classrooms without additional lessons in the same schools as the program. The teacher-assisted Khan Academy lessons performed 0.24 SDs better, the supervisor-led lessons 0.22 SDs better, and the teacher-led regular lessons 0.15 SDs better, but the authors could not determine whether the effects across versions were different.

Together, these studies suggest that instructional videos work best when provided as a complement to, rather than as a substitute for, regular instruction. Yet, the main limitation of these studies is the multifaceted nature of the Khan Academy portal, which also includes other components found to positively improve learner achievement, such as differentiated instruction by students’ learning levels. While the software does not provide the type of personalization discussed above, learners are asked to take a placement test and, based on their score, educators assign them different work. Therefore, it is not clear from these studies whether the effects from Khan Academy are driven by its instructional videos or to the software’s ability to provide differentiated activities when combined with placement tests.

Games and gamification

Technology can also increase learner engagement by presenting exercises as games and/or by encouraging learner to play and compete with others (e.g., using leaderboards and rewards)—an approach known as “gamification.” Both approaches can increase learner motivation and effort by presenting learners with entertaining opportunities for practice and by leveraging peers as commitment devices.

There are very few studies on the effects of games and gamification in low- and middle-income countries. Recently, Araya, Arias Ortiz, Bottan, and Cristia (2019) evaluated an initiative in which grade 4 students in Santiago, Chile were required to participate in two 90-minute sessions per week during the school day with instructional math software featuring individual and group competitions (e.g., tracking each learner’s standing in his/her class and tournaments between sections). After nine months, the program led to improvements of 0.27 SDs in the national student assessment in math (it had no spillover effects on reading). However, it had mixed effects on non-academic outcomes. Specifically, the program increased learners’ willingness to use computers to learn math, but, at the same time, increased their anxiety toward math and negatively impacted learners’ willingness to collaborate with peers. Finally, given that one of the weekly sessions replaced regular math instruction and the other one represented additional math instructional time, it is not clear whether the academic effects of the program are driven by the software or the additional time devoted to learning math.

The prognosis:

How can school systems adopt interventions that match their needs.

Here are five specific and sequential guidelines for decisionmakers to realize the potential of education technology to accelerate student learning.

1. Take stock of how your current schools, educators, and learners are engaging with technology .

Carry out a short in-school survey to understand the current practices and potential barriers to adoption of technology (we have included suggested survey instruments in the Appendices); use this information in your decisionmaking process. For example, we learned from conversations with current and former ministers of education from various developing regions that a common limitation to technology use is regulations that hold school leaders accountable for damages to or losses of devices. Another common barrier is lack of access to electricity and Internet, or even the availability of sufficient outlets for charging devices in classrooms. Understanding basic infrastructure and regulatory limitations to the use of education technology is a first necessary step. But addressing these limitations will not guarantee that introducing or expanding technology use will accelerate learning. The next steps are thus necessary.

“In Africa, the biggest limit is connectivity. Fiber is expensive, and we don’t have it everywhere. The continent is creating a digital divide between cities, where there is fiber, and the rural areas.  The [Ghanaian] administration put in schools offline/online technologies with books, assessment tools, and open source materials. In deploying this, we are finding that again, teachers are unfamiliar with it. And existing policies prohibit students to bring their own tablets or cell phones. The easiest way to do it would have been to let everyone bring their own device. But policies are against it.” H.E. Matthew Prempeh, Minister of Education of Ghana, on the need to understand the local context.

2. Consider how the introduction of technology may affect the interactions among learners, educators, and content .

Our review of the evidence indicates that technology may accelerate student learning when it is used to scale up access to quality content, facilitate differentiated instruction, increase opportunities for practice, or when it increases learner engagement. For example, will adding electronic whiteboards to classrooms facilitate access to more quality content or differentiated instruction? Or will these expensive boards be used in the same way as the old chalkboards? Will providing one device (laptop or tablet) to each learner facilitate access to more and better content, or offer students more opportunities to practice and learn? Solely introducing technology in classrooms without additional changes is unlikely to lead to improved learning and may be quite costly. If you cannot clearly identify how the interactions among the three key components of the instructional core (educators, learners, and content) may change after the introduction of technology, then it is probably not a good idea to make the investment. See Appendix A for guidance on the types of questions to ask.

3. Once decisionmakers have a clear idea of how education technology can help accelerate student learning in a specific context, it is important to define clear objectives and goals and establish ways to regularly assess progress and make course corrections in a timely manner .

For instance, is the education technology expected to ensure that learners in early grades excel in foundational skills—basic literacy and numeracy—by age 10? If so, will the technology provide quality reading and math materials, ample opportunities to practice, and engaging materials such as videos or games? Will educators be empowered to use these materials in new ways? And how will progress be measured and adjusted?

4. How this kind of reform is approached can matter immensely for its success.

It is easy to nod to issues of “implementation,” but that needs to be more than rhetorical. Keep in mind that good use of education technology requires thinking about how it will affect learners, educators, and parents. After all, giving learners digital devices will make no difference if they get broken, are stolen, or go unused. Classroom technologies only matter if educators feel comfortable putting them to work. Since good technology is generally about complementing or amplifying what educators and learners already do, it is almost always a mistake to mandate programs from on high. It is vital that technology be adopted with the input of educators and families and with attention to how it will be used. If technology goes unused or if educators use it ineffectually, the results will disappoint—no matter the virtuosity of the technology. Indeed, unused education technology can be an unnecessary expenditure for cash-strapped education systems. This is why surveying context, listening to voices in the field, examining how technology is used, and planning for course correction is essential.

5. It is essential to communicate with a range of stakeholders, including educators, school leaders, parents, and learners .

Technology can feel alien in schools, confuse parents and (especially) older educators, or become an alluring distraction. Good communication can help address all of these risks. Taking care to listen to educators and families can help ensure that programs are informed by their needs and concerns. At the same time, deliberately and consistently explaining what technology is and is not supposed to do, how it can be most effectively used, and the ways in which it can make it more likely that programs work as intended. For instance, if teachers fear that technology is intended to reduce the need for educators, they will tend to be hostile; if they believe that it is intended to assist them in their work, they will be more receptive. Absent effective communication, it is easy for programs to “fail” not because of the technology but because of how it was used. In short, past experience in rolling out education programs indicates that it is as important to have a strong intervention design as it is to have a solid plan to socialize it among stakeholders.

Beyond reopening: A leapfrog moment to transform education?

On September 14, the Center for Universal Education (CUE) will host a webinar to discuss strategies, including around the effective use of education technology, for ensuring resilient schools in the long term and to launch a new education technology playbook “Realizing the promise: How can education technology improve learning for all?”

file-pdf Full Playbook – Realizing the promise: How can education technology improve learning for all? file-pdf References file-pdf Appendix A – Instruments to assess availability and use of technology file-pdf Appendix B – List of reviewed studies file-pdf Appendix C – How may technology affect interactions among students, teachers, and content?

About the Authors

Alejandro j. ganimian, emiliana vegas, frederick m. hess.

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Future technology: 22 ideas about to change our world

The future is coming, and sooner than you think. These emerging technologies will change the way we live, how we look after our bodies and help us avert a climate disaster.

Technology moves at a relentlessly fast pace in the modern world. It can sometimes feel like every single day there are new technologies and innovations that will change our futures forever. But in a steady stream of announcements about new massive futuristic technological upgrades and cool gadgets , it is easy to lose track of the amazing ways the world is progressing.

For instance, there are artificial intelligence programs writing poems from scratch and making images from nothing more than a worded prompt. There are 3D-printed eyes, new holograms, lab-grown food and brain-reading robots.

All of this just scratches the surface of what is out there, so we've curated a guide to the most exciting future technologies, listing them all below.

Necrobotics

Sometimes new future technologies can offer amazing development, with the possibility of changing the future... while also being incredibly creepy.

This is one way to describe the idea of necrobotics which, as the name suggests, involves turning dead things into robots . While this sounds like a plot to a creepy horror film, this is a technology being explored at Rice University.

A team of researchers turned a dead spider into a robot-like gripper, given the ability to pick up other objects. To achieve this, they take a spider and inject it with air. This works because spiders use hydraulics to force their version of blood (haemolymph) into their limbs, making them extend.

Right now this concept is in its infant stages, but it could mean a future where dead animals are used to further science... it all feels very Frankeinstein-like!

Sand batteries

Not every technology bettering our future has to be complicated, some are simple, yet extremely effective.

One of these kind of technologies has come from some Finnish engineers who have found a way to turn sand into a giant battery.

These engineers piled 100 tons of sand into a 4 x 7 metre steel container. All of this sand was then heated up using wind and solar energy.

This heat can then be distributed by a local energy company to provide warmth to buildings in nearby areas. Energy can be stored this way for long periods of time.

All of this occurs through a concept known as resistive heating. This is where a material is heated by the friction of electrical currents.

Sand and any other non-super conductor are warmed by the electricity passing through them generated heat than can be used for energy.

E-skin could help us hug long-distance friends

While modern technology allows us to communicate verbally and visually almost anywhere in the world, there is currently no reliable method of sharing the sense of touch across long distances. Now, a wireless soft e-skin developed by engineers at the City University of Hong Kong could one day make giving and receiving hugs over the internet a reality.

The e-skin is studded with flexible actuators that sense the wearer’s movements and convert them into electrical signals. These signals can then be sent to another e-skin system via Bluetooth, where the actuators convert them into mechanical vibrations that mimic the initial movements. The system could be used to allow friends and family to ‘feel’ each other over long distances, the researchers say.

Researchers at the City University of Hong Kong (CityU) recently invented what they're calling a 'novel, wireless, skin-interfaced olfactory feedback system '. In other words, VR attachments that let you smell stuff.

The smells are generated by the devices heating and melting odorous wax that releases adjustable concentrations of stink. There are two versions of this tech. One is 'mounted' on your upper lip for easy access to your nostrils, and the other is a facemask-like design with hundreds of different odour combinations.

The university said their new tech has a broad range of applications that includes online teaching and 4D movie watching. That's right, in the future, you'll not only be able to watch your favourite movies in VR, you'll also be able to smell them. Now that's immersion!

Catapulting satellites into space

Who would have thought the best way to get satellites into space was with a makeshift catapult! Okay, it is a lot smarter than a catapult but the technology exists in a similar way.

SpinLaunch is a prototype system for getting satellites or other payloads up into space. It does this by using kinetic energy instead of the usual technique of using chemical fuel found in traditional rockets. This technology could be capable of spinning payloads at 8,000km/h and 10,000G, then launching them skyward through a large launch tube.

Of course, small rocket engines will still be required for payloads to reach orbit, but SpinLaunch has claimed this system cuts down on the fuel and infrastructure by an impressive 70 per cent.

The company has signed an agreement with NASA and is now testing the system.

Xenotransplantation

Inserting the heart of a pig into a human feels like a bad idea, and yet, this is one of the latest medical procedures that is seeing rapid progress.

Xenotransplantation - the procedure of transplanting, implementing or infusing a human with cells, tissues or organs from an animal source - has the potential to revolutionise surgery.

One of the most common procedures performed so far is the insertion of a pig's heart into a human. This has now successfully happened twice. However, one of the patients was only alive for a few months, and the second is still being observed.

In these surgeries, the heart cannot be instantly put into a human, gene-editing needs to take place first. Certain genes need to be knocked out of the heart and human genes need to be added, mainly around immune acceptance and genes to prevent excessive growth of heart tissue.

Right now, these surgeries are risky and there is no certainty around success. However, in the near future, we could see xenotransplants happening on a regular basis, providing hearts or tissues from animals to humans in need of it.

AI image-generation

As artificial intelligence continues to perform jobs just as well as humans, there is a new industry to add to the list – the world of art. Researchers at the company OpenAI have created a software that is able to create images from just worded prompts.

Type in ‘a dog wearing a cowboy hat singing in the rain’ and you’ll get a host of completely original images that fit that description. You can even choose what style of art your request will come back in. However, the technology isn't perfected and still has issues, like when we gave it poor prompts on designing cartoon characters .

This technology known as Dall-E is now its second iteration and the team behind it plans to continue developing it further. In the future, we could see this technology used to create art exhibitions, for companies to get quick, original illustrations or of course, to revolutionise the way we create memes on the internet.

There is also technology known as Midjourney , a AI image generator that creates gothic masterpieces with a simple text prompt. We are truly living in the future.

Brain reading robots

No longer a science fiction trope, the use of brain reading technology has improved hugely in recent years. One of the most interesting and practical uses we’ve seen tested so far comes from researchers at the Swiss Federal Institute of Technology Lausanne (EPFL).

Thanks to a machine-learning algorithm, a robot arm and a brain-computer interface, these researchers have managed to create a means for tetraplegic patients (those who can’t move their upper or lower body) to interact with the world .

In tests, the robot arm would perform simple tasks like moving around an obstacle. The algorithm would then interprets signals from the brain using an EEG cap and automatically determine when the arm had made a move that the brain considered incorrect, for example moving too close to the obstacle or going too fast.

Over time the algorithm can then adjust to the individuals preferences and brain signals. In the future this could lead to wheelchairs controlled by the brain or assistance machines for tetraplegic patients.

3D printed bones

3D printing is an industry promising everything from cheap house building through to affordable rugged armour, but one of the most interesting uses of the technology is the building of 3D printed bones.

The company Ossiform specialises in medical 3D printing, creating patient-specific replacements of different bones from tricalcium phosphate – a material with similar properties to human bones.

Using these 3D printed bones is surprisingly easy. A hospital can perform an MRI which is then sent to Ossiform who create a 3D model of the patient-specific implant that is needed. The surgeon accepts the design and then once it is printed, it can be used in surgery.

What is special about these 3D printed bones is that because of the use of tricalcium phosphate, the body will remodel the implants into vascularised bone. That means they will enable the full restoration of function that the bone it is replacing had. To achieve the best integration possible, the implants are of a porous structure and feature large pores and canals for cells to attach to and reform bone.

3D-printed food that takes the cake

What’s for dinner tonight? Soon it could be a piece of 3D-printed, laser-cooked cake. Researchers at Columbia University School of Engineering have created a device that can construct a seven-ingredient cheesecake using food inks and then cook it to perfection using a laser.

Their creation contained banana, jam, peanut butter and Nutella. Tasty. The technology could one day be used to create personalised meals for everyone from professional athletes to patients with dietary conditions, or could be useful for those who are simply short on time.

Natural language Processing

Natural language processing is the big new trend taking over the internet. While you've most likely seen it in use in Google's autocomplete software, or when your smartphone offers a prediction of what you are trying to type, it is capable of much smarter things.

OpenAI is a company that is at the forefront of artificial intelligence, originally taking the internet by storm with its image generator Dall-E 2 . Now it is back, making a chatbot known as ChatGPT , creating poems from scratch, explaining complex theories with ease and having full-length conversations like it is a human.

ChatGPT is powered by a software known as GPT-3, trained on billions of examples of texts, then taught how to form coherent and logical sentences.

ChatGPT is an example of AI and its future. It has proven its ability to make completely new websites from scratch, write entire length books and even make jokes... although, it clearly still hasn't mastered humour yet.

Boom-free supersonic flight

NASA’s X-59 ‘quiet’ supersonic aircraft is set to take to the skies for its first test flight at the Armstrong Flight Research Center later this year. The plane is currently being assembled in a hangar at Lockheed Martin’s Skunk Works facility in Palmdale, California.

Its fuselage, wings and tail have been specially designed to control the airflow around the plane as it flies, with the ultimate aim of preventing a loud sonic boom from disturbing people on the ground below when it breaks the sound barrier. If the initial test goes to plan, the space agency aims to carry out further test flights over inhabited areas to gauge the public’s response to aircraft in 2024.

Digital "twins" that track your health

In Star Trek , where many of our ideas of future technology germinated, human beings can walk into the medbay and have their entire body digitally scanned for signs of illness and injury. Doing that in real life would, say the makers of Q Bio, improve health outcomes and alleviate the load on doctors at the same time.

The US company has built a scanner that will measure hundreds of biomarkers in around an hour, from hormone levels to the fat building up in your liver to the markers of inflammation or any number of cancers. It intends to use this data to produce a 3D digital avatar of a patient's body – known as a digital twin – that can be tracked over time and updated with each new scan.

Q Bio CEO Jeff Kaditz hopes it will lead to a new era of preventative, personalised medicine in which the vast amounts of data collected not only help doctors prioritise which patients need to be seen most urgently, but also to develop more sophisticated ways of diagnosing illness. Read an interview with him here.

Direct air capture

Through the process of photosynthesis, trees have remained one of the best ways to reduce the levels of CO2 in the atmosphere. However, new technology could perform the same role as trees, absorbing carbon dioxide at greater levels while also taking up less land.

This technology is known as Direct Air Capture (DAC). It involves taking carbon dioxide from the air and either storing the CO 2 in deep geological caves under ground, or using it in combination with hydrogen to produce synthetic fuels.

While this technology has great potential, it has a lot of complications right now. There are now direct air capture facilities up and running, but the current models require a huge amount of energy to run. If the energy levels can be reduced in the future, DAC could prove to be one of the best technological advances for the future of the environment.

Green funerals

Sustainable living is becoming a priority for individuals squaring up to the realities of the climate crisis, but what about eco-friendly dying? Death tends to be a carbon-heavy process, one last stamp of our ecological footprint. The average cremation reportedly releases 400kg of carbon dioxide into the atmosphere, for example. So what's a greener way to go?

In Washington State in the US, you could be composted instead. Bodies are laid in chambers with bark, soil, straw and other compounds that promote natural decomposition. Within 30 days, your body is reduced to soil that can be returned to a garden or woodland. Recompose, the company behind the process, claims it uses an eighth of the carbon dioxide of a cremation.

An alternative technology uses fungi. In 2019, the late actor Luke Perry was buried in a bespoke "mushroom suit" designed by a start-up called Coeio. The company claims its suit, made with mushrooms and other microorganisms that aid decomposition and neutralise toxins that are realised when a body usually decays.

Most alternative ways of disposing of our bodies after death are not based on new technology; they're just waiting for societal acceptance to catch up. Another example is alkaline hydrolysis, which involves breaking the body down into its chemical components over a six-hour process in a pressurised chamber. It's legal in a number of US states and uses fewer emissions compared with more traditional methods.

Energy storing bricks

Scientists have found a way to store energy in the red bricks that are used to build houses.

Researchers led by Washington University in St Louis, in Missouri, US, have developed a method that can turn the cheap and widely available building material into “smart bricks” that can store energy like a battery.

Although the research is still in the proof-of-concept stage, the scientists claim that walls made of these bricks “could store a substantial amount of energy” and can “be recharged hundreds of thousands of times within an hour”.

The researchers developed a method to convert red bricks into a type of energy storage device called a supercapacitor.

This involved putting a conducting coating, known as Pedot, onto brick samples, which then seeped through the fired bricks’ porous structure, converting them into “energy storing electrodes”.

Iron oxide, which is the red pigment in the bricks, helped with the process, the researchers said.

Self-healing 'living concrete'

Scientists have developed what they call living concrete by using sand, gel and bacteria.

Researchers said this building material has structural load-bearing function, is capable of self-healing and is more environmentally friendly than concrete – which is the second most-consumed material on Earth after water.

The team from the University of Colorado Boulder believe their work paves the way for future building structures that could “heal their own cracks, suck up dangerous toxins from the air or even glow on command”.

Fuel from thin air

Chemical engineers from Switzerland’s École Polytechnique Fédérale de Lausanne have created a prototype device that can produce hydrogen fuel from the water found in air.

Inspired by leaves, the device is made from semiconducting materials that harvest energy from sunlight and use it to produce hydrogen gas from water molecules found in the atmosphere. The gas could then, potentially, be converted for use as liquid fuels.

Internet for everyone

We can’t seem to live without the internet (how else would you read sciencefocus.com?), but still only around half the world’s population is connected. There are many reasons for this, including economic and social reasons, but for some the internet just isn’t accessible because they have no connection.

Google is slowly trying to solve the problem using helium balloons to beam the internet to inaccessible areas, while Facebook has abandoned plans to do the same using drones, which means companies like Hiber are stealing a march. They have taken a different approach by launching their own network of shoebox-sized microsatellites into low Earth orbit, which wake up a modem plugged into your computer or device when it flies over and delivers your data.

Their satellites orbit the Earth 16 times a day and are already being used by organisations like The British Antarctic Survey to provide internet access to very extreme of our planet.

Read more about future technology:

• Dude, where’s my flying car? 11 future technologies we’re still waiting for
• Exciting new green technology of the future
• Future tech: The most exciting innovations from CES 2022

3D-printed eye tissue

Researchers at the National Eye Institute in the US have produced retinal tissue using stem cells and 3D bioprinting. The new technique may help scientists model the human eye to better understand – and develop treatments for – diseases and conditions that affect people’s vision, such as age-related macular degeneration (AMD).

The researchers created tissue found in the outer blood-retina barrier, which is the area AMD is known to start in, by printing stem cells taken from patients into a gel and allowing them to grow over several weeks. They are currently using the tissue to study the progression of AMD and are experimenting with adding additional cell types to model more of the human eye.

Car batteries that charge in 10 minutes

Fast-charging of electric vehicles is seen as key to their take-up, so motorists can stop at a service station and fully charge their car in the time it takes to get a coffee and use the toilet – taking no longer than a conventional break.

But rapid charging of lithium-ion batteries can degrade the batteries, researchers at Penn State University in the US say.This is because the flow of lithium particles known as ions from oneelectrode to another to charge the unit and hold the energy ready for use does not happen smoothly with rapid charging at lower temperatures.

However, they have now found that if the batteries could heat to 60°C for just 10 minutes and then rapidly cool again to ambient temperatures, lithium spikes would not form and heat damage would be avoided.

The battery design they have come up with is self-heating, using a thin nickel foil which creates an electrical circuit that heats in less than 30 seconds to warm the inside of the battery.The rapid cooling that would be needed after the battery is charged would be done using the cooling system designed into the car.

Their study, published in the journal Joule , showed they could fully charge an electrical vehicle in 10 minutes.

Artificial neurons on silicon chips

Scientists have found a way to attach artificial neurons onto silicon chips, mimicking the neurons in our nervous system and copying their electrical properties.

“Until now neurons have been like black boxes, but we have managed to open the black box and peer inside,” said Professor Alain Nogaret , from the University of Bath, who led the project.

“Our work is paradigm-changing because it provides a robust method to reproduce the electrical properties of real neurons in minute detail.

“But it’s wider than that, because our neurons only need 140 nanowatts of power. That’s a billionth the power requirement of a microprocessor, which other attempts to make synthetic neurons have used.

Researchers hope their work could be used in medical implants to treat conditions such as heart failure and Alzheimer’s as it requires so little power.

• 11 future technologies we’re still waiting for
• CES 2023: The 10 gadgets that will change the future
• Disco fridges and tech that wants you to pee on it: The 7 weirdest gadgets announced at CES 2023

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20 Most Prominent Technology Essay Topics And Writing Hints

Table of Contents

So it goes without saying that the scope of technology is an endless sphere to examine. What’s more, as the topic is super wide, you can personalize your essay to make it enjoyable to work on.

Nevertheless, it may be a challenge for you to make up your mind on how and what to write about. In this case, I hope the following hints will be of great help to you!

How to choose a topic about technology for a research paper?

First of all, to write a technology essay , you need to come up with a topic that will not be too wide, yet not too narrow.

Also, remember that it will be much more entertaining and easier for you to work on the questions you actually enjoy.

If you have troubles composing the topic for your research paper, try some o the following guidelines:

• Think of the aspects of technology you’re interested in.
• Choose issues that are up-to-date and newsworthy .
• Examine credible sources ; find out which questions are best covered with relevant information.
• Write down some keywords for the remaining questions, – they will be the basis of the topic. In case you’ve got too many aspects to cover, try choosing 2-3 of them.
• Try crafting a couple of topics . In case of emergency… find some ready-to-use ideas.
• Look through your final ideas and pick the one you like most.
• Do some preliminary research . Correct your topic if needed.

TOP 20 technology essay topics

Can’t come up with the idea for your perfect topic? How about choosing one from a brilliant list we’ve created for you?

• To what extent technology has changed the way people communicate?
• Pick up one technological invention (Internet/television/electro cars/mobile phones, etc.) and describe how it affected people’s lives.
• History of technological progress: the first technological discoveries.
• What would life be without modern technology?
• Do technologies have more pros or cons? Why?
• Is the Internet bringing people closer to each other or separating them?
• Examine the role of technologies in your own life: to what extent you are dependent on them, can you give up using?
• Think of the things we are losing with technological progress.
• Choose one gadget and describe its pros and cons.
• What technology awareness needs to be given to children nowadays?
• Describe a new technology you consider the most prominent. Explain your choice.
• The role of technology in globalization.
• Technology and work: what are the advantages and disadvantages of technology in workplaces?
• Imagine the future of technology: what life will be like in 20 years?
• Human vs computer: who wins?
• Reproduction technologies.
• Health technologies that have changed the world.
• Technology advance in genetic engineering.
• Correlation between technological progress and human identity.
• How has technology changed the rules of war?

Prominent topics about technology for writing

Didn’t like any of the topics above? Well, we’ve got Well, we’ve got another custom Writing list of technology topics. The following topics are more specific, but all of them are definitely thought-provoking.

• The use of technology in education.
• Stunning technology developed currently.
• The most shocking modern technology inventions the majority of people still aren’t aware of.
• Enumerate some technologies that you consider completely destructive and harmful. Explain your choice.
• Technology and space studies.
• The impact of technology on people’s health and values.
• Can robots replace humans completely on the workplaces? Why?
• Specific country and its contribution to the development of modern technology.
• Technology and safety of transport.
• Nanotechnologies and the scopes of their use.
• The use of technologies in medicine.
• Which technologies may influence people’s mental health? How?
• Technologies that have changed our lives.
• Do technologies have a positive or negative effect on personal safety?
• Does modern technology help improve the educational process?

Writing about technology: the what and the why

After you’ve chosen the topic, it’s a perfect time to start working on it.

Remember… To write a successful essay or a research paper on technology, you need to organize it all well.

This means you need a plan! Here are some hints for a perfect structure:

• Search for relevant information . You have to rely on credible sources to have up-to-date and newsworthy data. Remember that some websites may contain fakes!
• Note some crucial aspects of your question. Later you may use them as ideas to highlight.
• Start writing. To make it easier to cope with a lot of information you now encounter, you’d need to craft an outline . Write down a table of contents for your essay, it will be your soil to push off.
• Start with the introduction to give the reader some understanding of the issue. Here you include some background information on the topic, historical aspect, or some definitions if needed.
• Write the main body . Mention all your statements and support them with decent evidence. Remember that the main body should be split into paragraphs to make it readable. As a rule, one paragraph is for one idea or statement.
• End up with a conclusion – an inference of everything said before. It has to be laconic and logical. New ideas aren’t needed here.
• After you’ve written the paper, you may want to check it for grammar and typos . There are lots of websites and programs for this purpose. Even better, leave it for a couple of days and give it a fresh look.

The use of a technology essay example

To reassure you that writing a technology essay isn’t the end of the world, here is a free sample of the essay. It fits all the general recommendations, but you should always keep in mind that your teacher may have own vision on how the essay should be completed!

Still, it’s always great to grab some ideas!

Overall, writing an essay on technology is an incredibly valuable experience. Moreover, the topic is so wide; you most definitely will find something interesting to talk about!

Stick to the structure and don’t hesitate to discover something very specific. Technology is getting more and more stunning every day!

No time to complete your brilliant copy? We’ve got a bunch of writers, who’d be more than happy to write it for you! Any topic, tightest deadline, complete confidentiality. Hit the button to learn more.

An Ultimate Guide On How To Write A Research Paper For A+

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How to Achieve Well-Organized Essay with Minimum Efforts

Essay about New Technology and Its Impact

New technology essay introduction, irreversibility of a technological progress, education and new technologies, healthcare and new technologies, workplace and new technologies, new technology essay conclusion, reference list.

New technologies play an increasingly important role in human lives. Nowadays, it is hard to imagine everyday life without a computer, cell phone, iPod, the Internet, etc. All these innovations become a considerable part of social life and change the way people live, communicate, work, and relax. Technological progress cannot be stopped or replaced.

This fact has to be understood to provide society with better living and working conditions and appropriate social services. The current paper aims at assessing the impact of new technologies upon society in such spheres as education, healthcare, and working management.

The chosen spheres seem to be a kind of the basis of any society, and if the impact of new technologies in these fields will be evaluated, the impact of new technologies upon society may be understood as well.

Technologies shape modern society and perform the role of a survival tool that cannot be neglected: on the one hand, new technologies may easily destroy society within a short period of time, and on the other hand, innovations can help to overcome the challenges, and people should gain control over all technologies and never forget that they, the people, not the technologies, are the creators of the future.

Almost every sphere of life is in need of constant changes, inventions, and ideas. People should understand the level of their responsibility about the way of how new technologies are implemented. Luppicini (2012) admits that people treat technology as “a complex social system defined by a complex set of human-technological relations embedded in life and society” (p. xviii).

The system of improvements promoted by new technologies may simply shape and reshape society (Naughton 2010). Many experts are ready to argue concerning who or what should run the process. There are many factors that influence the perception of technological progress.

However, one fact is evident and cannot be neglected – new technologies will enter each person’s life one day, and society has to accept every single innovation to survive in such a rapidly developing world.

Several years ago, people could spend days and nights making conclusions, evaluating the information, thinking about something, or planning a talk. Nowadays, people prefer to surf the web and find answers within a short period of time, use their cell phones or Skype and talk to any person around the whole globe, address an online expert, and get a number of ideas in several minutes (Kiesler 2014).

On the one hand, such technical assistance is a perfect way to improve living and working conditions; on the other hand, such a variety of choices frightens a lot as people stop thinking but rely on some technological help. Society does not want to think but read the already given facts and use them in life.

People do not want to listen to those who are sitting nearby but prefer to ask those who are miles away, by means of Facebook or something like that. However, such dependence upon technologies is an independent decision of people. People have all the chances to make independent decisions, think, analyze, evaluate, etc. but they simply do not want to.

People learn society, its peculiarities, and development when they are at schools. Most of them meet new technologies during the educative process. The choice of the sphere of education and its relation to new technologies is evident.

New technologies promote the development of new learning opportunities. For example, “academic librarians, as facilitators of the research and information-retrieval process, need to apply the new information technologies to information literacy programs actively and train their users to use the technologies” (Kern 2011, p. 92).

One decade ago, many students had to find numerous books, spend many hours reading some general literature to find out an answer to one question, and be upset with their inabilities to achieve good results. Nowadays, students are free to ask for literary help and get it quickly and spend the rest of the time, analyzing the necessary portion of the material.

At the same time, such an opportunity may become an obstacle for society – students become not able to work hard and prefer to use the easiest ways in their educational process. Instead of making independent calculations, students use online calculators; instead of developing a powerful essay, students may buy them online; instead of introducing their own ideas on a topic, students like to read the already developed projects, etc.

Bush (2012) says that new technologies used for education help society to see how far people have not come yet. If students have sophisticated curators, they are lucky to learn how advantaged new technologies can be.

Unfortunately, there are many tutors who do not want to follow the order that is required in classrooms. Such tutors allow using cell phones in class, addressing the web to find an answer in a short period of time, and communicating with peers by means of all their devices.

Such an impact of new technologies upon society is bad indeed. However, if tutors prefer real-life communication, support the absence of all additional devices except those, which are required for a lesson, and promote students thinking, analyzing, and even making mistakes to get to the truth, new technologies cannot do any harm to society.

If the evaluation of the connection between the sphere of education and new technologies shows how society should treat technological improvements, the evaluation of technologies’ implementation to the sphere of healthcare may prove that the techno progress is of high importance. Many experts admit that current health care is poorly delivered in many small towns, villages, and even big cities (Cooper 2010).

People are not always able to get the required portion of help because of information shortage, poor technologies, or lack of experience. New technologies are able to change the way of how healthcare is delivered (Cooper, 2010). Society may benefit from the available opportunities considerably.

For example, people can make an appointment with a necessary doctor online instead of calling the hospital and listening that the line is busy. Doctors can learn a patient’s information if online databases are available and think about treatment quicker. Such an impact of technologies upon society seems to be the most crucial.

Experts admit that the human brain, as the most sensitive organ, can be under a terrible threat from the modern world because new technologies may spread throughout human heads and hearts fast (Greenfield 2013). The use of technologies may be beneficial for one person and harmful for another person at the same time.

Many people get used to searching for information online and forget about the importance of personal experience, professional points of view, and attention to the details. For example, a young lady who has some problems with her stomach may not address her therapist but rely on the information found on the Internet. She chooses a wrong diagnosis with the wrong treatment.

The results may vary, and some of them are not always good. This is why only professional doctors, educated nurses, and other appropriate experts are free to combine technologies and healthcare to achieve good results and provide society with quality services.

The way of how people are able to interpret new technologies’ implementation at workplaces may predetermine the quality of social life as well. Managers truly believe that technologies improve the process of communication between co-workers and workers and consumers considerably (Leonardi 2009).

They hope to provide workers with more time for other activities, facilitate the exchange of information process, or focus on other possible improvements. When society is free to choose services, ideas, activities, etc., they feel happier and more satisfied with the life given. Still, when managers use the same tactics for their workers, they are not always sure about the results of the required organizational change.

In the beginning, people are ready to demonstrate their dissatisfaction with the improvements offered instead of making an attempt and trying to accept the change. It is easier for society to follow an old order, familiar rules, and regular norms.

But society is not always able to notice that the earlier offered technologies have already spread and implemented within a short period of time. In other words, people are usually afraid of some changes at first or too lazy to accept something new. But, at the same time, they are too weak to resist the technological progress that is coming anyway and supported by a few people.

In general, the assessment of the impact of new technologies upon society helps to understand that people themselves are able to create the challenges that have to be overcome.

The evaluation of three different spheres of life (education, healthcare, and working management) and their dependence upon technological development shows that people are in need of some changes as well as they are under a threat of the outcomes of these changes all the time.

The paradox of relations between technologies and society is an ability to create the worst things from the best opportunities and vice versa. Even the best ideas may be harmful in the wrong hands; this is why society should be ready to discover, understand, and implement all new technologies in time and use them to survive, succeed, and enjoy this life.

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Cooper, G 2010, ‘Using technology to improve society’, The Guardian .

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Kern, MK 2011, ‘The impact of new technologies on current awareness tools in academic libraries’, Reference & User Services Quarterly , vol. 51, no. 2, pp.92-97.

Kiesler, S 2014, Culture of the Internet , Psychology Press, New York.

Leonardi, PM 2009, ‘Why do people reject new technologies and stymie organizational changes of which they are in favour? Exploring misalignments between social interactions and materiality’, Human Communication Research , vol. 35, pp. 407-441.

Luppicini, R 2012, Ethical impact of technological advancements and applications in society , Information Science Reference, Hershey.

Naughton, J 2010, ‘ The Internet: Is it changing the way we think? ’, The Guardian .

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New Technology’s Influence on the Future Essay

Introduction, main innovations, innovation problems, blockchain technology, autonomous systems, electric cars.

Doing business is a precarious business. First, it is necessary to decide on the type of business, all the technical characteristics, and other equally important details. Recently the market has changed a lot, thanks to a large number of innovations and technologies that are introduced not gradually but almost immediately. Each of them allows companies to bypass their competitors and attract many new customers with unique features of both the product itself and methods of production. This paper will focus on the analysis of this problem and what innovations in the current world are important and able to change the market industry in the future.

One of the most trending and controversial innovations is using artificial intelligence in creative tasks. In the last few years, the augmented reality and machine learning industries have reached great heights, affecting artists, writers, and designers, who have already started to lose their jobs. Virtual reality is one of the most important innovations which can replace many aspects of life. The most important are social interaction and the learning process. Using a virtual world, a person can get much knowledge without reference to the teacher and communicate with other people through chats and video calls and by having close contact with their avatars (Granja & Moreira, 2019). It is also worth noting another element that can change the usual perception of the world, namely alternative fuel sources. Thanks to the use of electric batteries, the oil industry was almost destroyed, and a large number of people working in the industry lost their jobs.

All these technologies exist, but in limited quantities, as the main problem with their implementation is the high cost. Only some people are ready to spend a large sum of money to buy all the necessary equipment. In addition, an important role is also played by the development degree of these projects, as most of them are at an early stage of development and implementation (Orbach, 2020). All these technologies require more time for refinement and development of functionality, which may affect their future availability and lower the threshold of entering the world of new technologies.

New technologies have the potential to significantly influence the future and shape the way we live and work. Some examples of emerging technologies that are likely to have a significant impact include:

Artificial Intelligence (AI) is the computer systems simulation of human intelligence processes. These processes include learning, reasoning, and self-correction. AI has the ability to analyze and understand complex data, make predictions, and adapt to new situations. AI technology is being applied in many industries, from healthcare to finance to transportation, to improve efficiency and decision-making (Costello, 2018). Examples of AI applications include virtual personal assistants, self-driving cars, and medical diagnosis systems. Despite the many potential benefits of these technologies, they also raise many challenges and concerns. Some of the leading innovation problems include:

Privacy and security risks: Many new technologies, especially those that rely on data collection and sharing, raise serious privacy and security concerns. Ensuring that personal data is protected and that systems are secure is crucial to gaining widespread trust and adopting these technologies (Orbach, 2020). In addition to these risks, there are also aspects of economic and social impact. New technologies have the potential to create winners and losers, as some jobs and industries are disrupted while others are made. Addressing these technologies’ economic and social impact is essential for ensuring that the benefits are widely shared.

Blockchain technology is a digital ledger that records transactions on a decentralized network. Each block in the chain contains a record of multiple transactions, and every participant in the network has access to the entire ledger. The decentralized nature of the network means that there is no single point of failure, and transactions are recorded immutably. This makes blockchain technology highly secure and resistant to tampering. It has been used to create digital currencies such as Bitcoin but is applied in other industries such as supply chain management, voting systems, and real estate. Virtual and augmented reality are also gaining momentum in recent years. Virtual Reality (VR) provides a computer-generated simulation of a three-dimensional environment that can be interacted with using specialized equipment, such as head-mounted displays (Costello, 2018). On the other hand, Augmented Reality (AR) involves superimposing computer-generated information on the user’s view of the real world. VR and AR can be applied in various industries, from gaming to education, real estate, healthcare, and many more. The target market for this technology can be the sales area, where the option of buying goods for cryptocurrency is already being implemented today.

With the advancement of technology comes the question of sustainability and ethical implications. With increasing energy consumption, electronic waste, and data center energy consumption, we must consider the environmental impact of the technology we are developing (Costello, 2018). Furthermore, integrating technology into our lives has led to the ethical question of how we use this technology, such as issues like surveillance, privacy, and the balance between accessibility and security.

Another important technology that is shaping the future is the technology of autonomous systems. Autonomous systems are capable of sensing, adapting, and operating independently from human intervention. Autonomous systems are used in many areas, such as automotive, military, and emergency technology (Matthews et al., 2021). The most common examples of autonomous systems are self-driving cars and drones, but the technology can also be applied to other systems, such as robots and spacecraft. The advantages of autonomous systems include improved safety, increased efficiency, and the ability to operate in environments that are not safe for humans. However, this technology also raises important questions about liability and regulation, especially in the case of accidents involving autonomous systems. As mentioned above, the target market for this innovation is various services that may need to carry out dangerous operations remotely.

The Internet of Things (IoT) refers to the interconnectedness of physical devices and objects through the internet. These devices are equipped with sensors, software, and network connectivity, allowing them to collect and share data. This data can be used to improve efficiency, automate processes, and make better decisions. Examples of IoT devices include smart home devices, industrial control systems, and wearables. The Internet of Things is used today in medicine, programming, artificial intelligence, and communication (Nord et al., 2019). By connecting devices to the internet, IoT collects and analyzes data on a massive scale, enabling new insights and improvements in various domains. Biotechnology is also important, particularly in the field of synthetic biology. This technology aims to design and build new biological parts, devices, and systems that do not exist in the natural world. Synthetic biology can be applied to developing new drugs, vaccines, biofuels, and even food production. Technology has the potential to revolutionize many industries and improve human lives, but it also raises essential ethical considerations about the creation of life forms and their impact on the environment.

Speaking about each of these aspects in more detail, there are several unique features to note. The development of artificial intelligence can bring changes in the labor market of professions. People who have spent years learning their craft in the first place are left without proper recognition and the opportunity to develop their creativity further (Orbach, 2020). In the creative fields, for example, the market will shift toward quickly generated content, reducing the number of in-demand live professionals. This makes the situation much more manageable. However, the project is still underdeveloped at this stage because neural networks cannot act on the same level as human perception (Costello, 2018). The main benefit to clients is that the task they need will be completed as quickly as possible, lowering the price of the work, and removing the problem of finding a professional. The main requirement for the technology is a quality and fast solution to the necessary tasks.

As for the situation with the development of the virtual world, there are many uncertainties and assumptions. It opens the door to a world where nothing is accurate, and there is the possibility of making mistakes. Virtual reality is changing the education and entertainment market. It made it possible to move a large portion of the population to distance learning and work during the pandemic. This technology will change the entertainment market, which will hit the amusement parks. On the other hand, customers will be able to close part of their need for travel and joy with one purchase because, thanks to virtual reality, a person can get into any world without leaving home (Costello, 2018). Very often, examples of virtual reality can be seen in the classes of doctors and nurses, who are not yet ready for actual patients but need a full-fledged practice. The main requirements are to lower the price of the technology to make it more accessible, expand the options and customize it for different activities. The target market for electric cars is people who are interested in new technologies and care about nature.

The only technology that will not completely replace human labor, but will change lives for the better, is electric cars. The market for electric cars is getting higher every year, significantly affected by the demands of EU countries for cars to reduce emissions to the outside world (Granja & Moreira, 2019). This technology will hurt the market of cars with internal combustion engines and the market of gasoline. Customers will get a car that meets the requirement of many states and will save on gasoline and car repairs. The general requirement for this technology is adopting the state law on protecting the environment, advertising electric cars, and reducing their prices.

Advances in technology will change the world as we know it in many ways. People continue to look for ways to simplify life, even though there are consequences. Throughout history, humanity has adapted to change, and it is an inherent part of history that continues to repeat itself repeatedly, leading to new unpredictable outcomes. Therefore, we can conclude that despite progress, these technologies are still far from perfect and have the potential to change the marketplace. However, people in certain professions already need to be prepared now that a new era is coming in which technology is becoming a higher priority.

Costello, A. M. (2018). Credit market disruptions and liquidity spillover effects in the supply chain . SSRN Electronic Journal . Web.

Granja, J., & Moreira, S. (2019). Product innovation and credit market disruptions . SSRN Electronic Journal . Web.

Matthews, G., Hancock, P. A., Lin, J., Panganiban, A. R., Reinerman-Jones, L. E., Szalma, J. L., & Wohleber, R. W. (2021). Evolution and revolution: Personality research for the coming world of robots, artificial intelligence, and autonomous systems . Personality and individual differences , 169 , 109969. Web.

Nord, J. H., Koohang, A., & Paliszkiewicz, J. (2019). The Internet of Things: Review and theoretical framework . Expert Systems with Applications , 133 , 97-108. Web.

Orbach, B. (2020). Antitrust in the shadow of market disruptions . SSRN Electronic Journal . Web.

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IvyPanda. (2024, January 10). New Technology's Influence on the Future. https://ivypanda.com/essays/new-technologys-influence-on-the-future/

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IvyPanda . "New Technology's Influence on the Future." January 10, 2024. https://ivypanda.com/essays/new-technologys-influence-on-the-future/.

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Essay on Technology – A Boon or Bane for Students

500+ words essay on technology for students.

In this essay on technology, we are going to discuss what technology is, what are its uses, and also what technology can do? First of all, technology refers to the use of technical and scientific knowledge to create, monitor, and design machinery. Also, technology helps in making other goods that aid mankind.

Essay on Technology – A Boon or Bane?

Experts are debating on this topic for years. Also, the technology covered a long way to make human life easier but the negative aspect of it can’t be ignored. Over the years technological advancement has caused a severe rise in pollution . Also, pollution has become a major cause of many health issues. Besides, it has cut off people from society rather than connecting them. Above all, it has taken away many jobs from the workers class.

Familiarity between Technology and Science

As they are completely different fields but they are interdependent on each other. Also, it is due to science contribution we can create new innovation and build new technological tools. Apart from that, the research conducted in laboratories contributes a lot to the development of technologies. On the other hand, technology extends the agenda of science.

Vital Part of our Life

Regularly evolving technology has become an important part of our lives. Also, newer technologies are taking the market by storm and the people are getting used to them in no time. Above all, technological advancement has led to the growth and development of nations.

Negative Aspect of Technology

Although technology is a good thing, everything has two sides. Technology also has two sides one is good and the other is bad. Here are some negative aspects of technology that we are going to discuss.

Get the huge list of more than 500 Essay Topics and Ideas

With new technology the industrialization increases which give birth to many pollutions like air, water, soil, and noise. Also, they cause many health-related issues in animals, birds, and human beings.

Exhaustion of Natural Resources

New technology requires new resources for which the balance is disturbed. Eventually, this will lead to over-exploitation of natural resources which ultimately disturbs the balance of nature.

Unemployment

A single machine can replace many workers. Also, machines can do work at a constant pace for several hours or days without stopping. Due to this, many workers lost their job which ultimately increases unemployment .

Types of Technology

Generally, we judge technology on the same scale but in reality, technology is divided into various types. This includes information technology, industrial technology , architectural technology, creative technology and many more. Let’s discuss these technologies in brief.

Industrial Technology

This technology organizes engineering and manufacturing technology for the manufacturing of machines. Also, this makes the production process easier and convenient.

Creative Technology

This process includes art, advertising, and product design which are made with the help of software. Also, it comprises of 3D printers , virtual reality, computer graphics, and other wearable technologies.

Information Technology

This technology involves the use of telecommunication and computer to send, receive and store information. Internet is the best example of Information technology.

FAQs on Essay on Technology

Q.1 What is Information technology?

A –  It is a form of technology that uses telecommunication and computer systems for study. Also, they send, retrieve, and store data.

Q.2 Is technology harmful to humans?

 A – No, technology is not harmful to human beings until it is used properly. But, misuses of technology can be harmful and deadly.

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200-500 Word Example Essays about Technology

Got an essay assignment about technology check out these examples to inspire you.

Technology is a rapidly evolving field that has completely changed the way we live, work, and interact with one another. Technology has profoundly impacted our daily lives, from how we communicate with friends and family to how we access information and complete tasks. As a result, it's no surprise that technology is a popular topic for students writing essays.

But writing a technology essay can be challenging, especially for those needing more time or help with writer's block. This is where Jenni.ai comes in. Jenni.ai is an innovative AI tool explicitly designed for students who need help writing essays. With Jenni.ai, students can quickly and easily generate essays on various topics, including technology.

This blog post aims to provide readers with various example essays on technology, all generated by Jenni.ai. These essays will be a valuable resource for students looking for inspiration or guidance as they work on their essays. By reading through these example essays, students can better understand how technology can be approached and discussed in an essay.

Moreover, by signing up for a free trial with Jenni.ai, students can take advantage of this innovative tool and receive even more support as they work on their essays. Jenni.ai is designed to help students write essays faster and more efficiently, so they can focus on what truly matters – learning and growing as a student. Whether you're a student who is struggling with writer's block or simply looking for a convenient way to generate essays on a wide range of topics, Jenni.ai is the perfect solution.

The Impact of Technology on Society and Culture

Introduction:.

Technology has become an integral part of our daily lives and has dramatically impacted how we interact, communicate, and carry out various activities. Technological advancements have brought positive and negative changes to society and culture. In this article, we will explore the impact of technology on society and culture and how it has influenced different aspects of our lives.

Positive impact on communication:

Technology has dramatically improved communication and made it easier for people to connect from anywhere in the world. Social media platforms, instant messaging, and video conferencing have brought people closer, bridging geographical distances and cultural differences. This has made it easier for people to share information, exchange ideas, and collaborate on projects.

Positive impact on education:

Students and instructors now have access to a multitude of knowledge and resources because of the effect of technology on education . Students may now study at their speed and from any location thanks to online learning platforms, educational applications, and digital textbooks.

Negative impact on critical thinking and creativity:

Technological advancements have resulted in a reduction in critical thinking and creativity. With so much information at our fingertips, individuals have become more passive in their learning, relying on the internet for solutions rather than logic and inventiveness. As a result, independent thinking and problem-solving abilities have declined.

Positive impact on entertainment:

Technology has transformed how we access and consume entertainment. People may now access a wide range of entertainment alternatives from the comfort of their own homes thanks to streaming services, gaming platforms, and online content makers. The entertainment business has entered a new age of creativity and invention as a result of this.

Negative impact on attention span:

However, the continual bombardment of information and technological stimulation has also reduced attention span and the capacity to focus. People are easily distracted and need help focusing on a single activity for a long time. This has hampered productivity and the ability to accomplish duties.

The Ethics of Artificial Intelligence And Machine Learning

The development of artificial intelligence (AI) and machine learning (ML) technologies has been one of the most significant technological developments of the past several decades. These cutting-edge technologies have the potential to alter several sectors of society, including commerce, industry, healthcare, and entertainment. 

As with any new and quickly advancing technology, AI and ML ethics must be carefully studied. The usage of these technologies presents significant concerns around privacy, accountability, and command. As the use of AI and ML grows more ubiquitous, we must assess their possible influence on society and investigate the ethical issues that must be taken into account as these technologies continue to develop.

What are Artificial Intelligence and Machine Learning?

Artificial Intelligence is the simulation of human intelligence in machines designed to think and act like humans. Machine learning is a subfield of AI that enables computers to learn from data and improve their performance over time without being explicitly programmed.

The impact of AI and ML on Society

The use of AI and ML in various industries, such as healthcare, finance, and retail, has brought many benefits. For example, AI-powered medical diagnosis systems can identify diseases faster and more accurately than human doctors. However, there are also concerns about job displacement and the potential for AI to perpetuate societal biases.

The Ethical Considerations of AI and ML

A. Bias in AI algorithms

One of the critical ethical concerns about AI and ML is the potential for algorithms to perpetuate existing biases. This can occur if the data used to train these algorithms reflects the preferences of the people who created it. As a result, AI systems can perpetuate these biases and discriminate against certain groups of people.

B. Responsibility for AI-generated decisions

Another ethical concern is the responsibility for decisions made by AI systems. For example, who is responsible for the damage if a self-driving car causes an accident? The manufacturer of the vehicle, the software developer, or the AI algorithm itself?

C. The potential for misuse of AI and ML

AI and ML can also be used for malicious purposes, such as cyberattacks and misinformation. The need for more regulation and oversight in developing and using these technologies makes it difficult to prevent misuse.

The developments in AI and ML have given numerous benefits to humanity, but they also present significant ethical concerns that must be addressed. We must assess the repercussions of new technologies on society, implement methods to limit the associated dangers, and guarantee that they are utilized for the greater good. As AI and ML continue to play an ever-increasing role in our daily lives, we must engage in an open and frank discussion regarding their ethics.

The Future of Work And Automation

Rapid technological breakthroughs in recent years have brought about considerable changes in our way of life and work. Concerns regarding the influence of artificial intelligence and machine learning on the future of work and employment have increased alongside the development of these technologies. This article will examine the possible advantages and disadvantages of automation and its influence on the labor market, employees, and the economy.

The Advantages of Automation

Automation in the workplace offers various benefits, including higher efficiency and production, fewer mistakes, and enhanced precision. Automated processes may accomplish repetitive jobs quickly and precisely, allowing employees to concentrate on more complex and creative activities. Additionally, automation may save organizations money since it removes the need to pay for labor and minimizes the danger of workplace accidents.

The Potential Disadvantages of Automation

However, automation has significant disadvantages, including job loss and income stagnation. As robots and computers replace human labor in particular industries, there is a danger that many workers may lose their jobs, resulting in higher unemployment and more significant economic disparity. Moreover, if automation is not adequately regulated and managed, it might lead to stagnant wages and a deterioration in employees' standard of life.

The Future of Work and Automation

Despite these difficulties, automation will likely influence how labor is done. As a result, firms, employees, and governments must take early measures to solve possible issues and reap the rewards of automation. This might entail funding worker retraining programs, enhancing education and skill development, and implementing regulations that support equality and justice at work.

IV. The Need for Ethical Considerations

We must consider the ethical ramifications of automation and its effects on society as technology develops. The impact on employees and their rights, possible hazards to privacy and security, and the duty of corporations and governments to ensure that automation is utilized responsibly and ethically are all factors to be taken into account.

Conclusion:

To summarise, the future of employment and automation will most certainly be defined by a complex interaction of technological advances, economic trends, and cultural ideals. All stakeholders must work together to handle the problems and possibilities presented by automation and ensure that technology is employed to benefit society as a whole.

The Role of Technology in Education

Introduction.

Nearly every part of our lives has been transformed by technology, and education is no different. Today's students have greater access to knowledge, opportunities, and resources than ever before, and technology is becoming a more significant part of their educational experience. Technology is transforming how we think about education and creating new opportunities for learners of all ages, from online courses and virtual classrooms to instructional applications and augmented reality.

Technology's Benefits for Education

The capacity to tailor learning is one of technology's most significant benefits in education. Students may customize their education to meet their unique needs and interests since they can access online information and tools. 

For instance, people can enroll in online classes on topics they are interested in, get tailored feedback on their work, and engage in virtual discussions with peers and subject matter experts worldwide. As a result, pupils are better able to acquire and develop the abilities and information necessary for success.

Challenges and Concerns

Despite the numerous advantages of technology in education, there are also obstacles and considerations to consider. One issue is the growing reliance on technology and the possibility that pupils would become overly dependent on it. This might result in a lack of critical thinking and problem-solving abilities, as students may become passive learners who only follow instructions and rely on technology to complete their assignments.

Another obstacle is the digital divide between those who have access to technology and those who do not. This division can exacerbate the achievement gap between pupils and produce uneven educational and professional growth chances. To reduce these consequences, all students must have access to the technology and resources necessary for success.

In conclusion, technology is rapidly becoming an integral part of the classroom experience and has the potential to alter the way we learn radically. 

Technology can help students flourish and realize their full potential by giving them access to individualized instruction, tools, and opportunities. While the benefits of technology in the classroom are undeniable, it's crucial to be mindful of the risks and take precautions to guarantee that all kids have access to the tools they need to thrive.

The Influence of Technology On Personal Relationships And Communication 

Technological advancements have profoundly altered how individuals connect and exchange information. It has changed the world in many ways in only a few decades. Because of the rise of the internet and various social media sites, maintaining relationships with people from all walks of life is now simpler than ever. 

However, concerns about how these developments may affect interpersonal connections and dialogue are inevitable in an era of rapid technological growth. In this piece, we'll discuss how the prevalence of digital media has altered our interpersonal connections and the language we use to express ourselves.

Direct Effect on Direct Interaction:

The disruption of face-to-face communication is a particularly stark example of how technology has impacted human connections. The quality of interpersonal connections has suffered due to people's growing preference for digital over human communication. Technology has been demonstrated to reduce the usage of nonverbal signs such as facial expressions, tone of voice, and other indicators of emotional investment in the connection.

Positive Impact on Long-Distance Relationships:

Yet there are positives to be found as well. Long-distance relationships have also benefited from technological advancements. The development of technologies such as video conferencing, instant messaging, and social media has made it possible for individuals to keep in touch with distant loved ones. It has become simpler for individuals to stay in touch and feel connected despite geographical distance.

The Effects of Social Media on Personal Connections:

The widespread use of social media has had far-reaching consequences, especially on the quality of interpersonal interactions. Social media has positive and harmful effects on relationships since it allows people to keep in touch and share life's milestones.

Unfortunately, social media has made it all too easy to compare oneself to others, which may lead to emotions of jealousy and a general decline in confidence. Furthermore, social media might cause people to have inflated expectations of themselves and their relationships.

A Personal Perspective on the Intersection of Technology and Romance

Technological advancements have also altered physical touch and closeness. Virtual reality and other technologies have allowed people to feel physical contact and familiarity in a digital setting. This might be a promising breakthrough, but it has some potential downsides. 

Experts are concerned that people's growing dependence on technology for intimacy may lead to less time spent communicating face-to-face and less emphasis on physical contact, both of which are important for maintaining good relationships.

In conclusion, technological advancements have significantly affected the quality of interpersonal connections and the exchange of information. Even though technology has made it simpler to maintain personal relationships, it has chilled interpersonal interactions between people. 

Keeping tabs on how technology is changing our lives and making adjustments as necessary is essential as we move forward. Boundaries and prioritizing in-person conversation and physical touch in close relationships may help reduce the harm it causes.

The Security and Privacy Implications of Increased Technology Use and Data Collection

The fast development of technology over the past few decades has made its way into every aspect of our life. Technology has improved many facets of our life, from communication to commerce. However, significant privacy and security problems have emerged due to the broad adoption of technology. In this essay, we'll look at how the widespread use of technological solutions and the subsequent explosion in collected data affects our right to privacy and security.

Data Mining and Privacy Concerns

Risk of Cyber Attacks and Data Loss

The Widespread Use of Encryption and Other Safety Mechanisms

The Privacy and Security of the Future in a Globalized Information Age

Obtaining and Using Individual Information

The acquisition and use of private information is a significant cause for privacy alarm in the digital age. Data about their customers' online habits, interests, and personal information is a valuable commodity for many internet firms. Besides tailored advertising, this information may be used for other, less desirable things like identity theft or cyber assaults.

Moreover, many individuals need to be made aware of what data is being gathered from them or how it is being utilized because of the lack of transparency around gathering personal information. Privacy and data security have become increasingly contentious as a result.

Data breaches and other forms of cyber-attack pose a severe risk.

The risk of cyber assaults and data breaches is another big issue of worry. More people are using more devices, which means more opportunities for cybercriminals to steal private information like credit card numbers and other identifying data. This may cause monetary damages and harm one's reputation or identity.

Many high-profile data breaches have occurred in recent years, exposing the personal information of millions of individuals and raising serious concerns about the safety of this information. Companies and governments have responded to this problem by adopting new security methods like encryption and multi-factor authentication.

Many businesses now use encryption and other security measures to protect themselves from cybercriminals and data thieves. Encryption keeps sensitive information hidden by encoding it so that only those possessing the corresponding key can decipher it. This prevents private information like bank account numbers or social security numbers from falling into the wrong hands.

Firewalls, virus scanners, and two-factor authentication are all additional security precautions that may be used with encryption. While these safeguards do much to stave against cyber assaults, they are not entirely impregnable, and data breaches are still possible.

The Future of Privacy and Security in a Technologically Advanced World

There's little doubt that concerns about privacy and security will persist even as technology improves. There must be strict safeguards to secure people's private information as more and more of it is transferred and kept digitally. To achieve this goal, it may be necessary to implement novel technologies and heightened levels of protection and to revise the rules and regulations regulating the collection and storage of private information.

Individuals and businesses are understandably concerned about the security and privacy consequences of widespread technological use and data collecting. There are numerous obstacles to overcome in a society where technology plays an increasingly important role, from acquiring and using personal data to the risk of cyber-attacks and data breaches. Companies and governments must keep spending money on security measures and working to educate people about the significance of privacy and security if personal data is to remain safe.

In conclusion, technology has profoundly impacted virtually every aspect of our lives, including society and culture, ethics, work, education, personal relationships, and security and privacy. The rise of artificial intelligence and machine learning has presented new ethical considerations, while automation is transforming the future of work. 

In education, technology has revolutionized the way we learn and access information. At the same time, our dependence on technology has brought new challenges in terms of personal relationships, communication, security, and privacy.

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• Technology Essay

Essay on Technology

The word "technology" and its uses have immensely changed since the 20th century, and with time, it has continued to evolve ever since. We are living in a world driven by technology. The advancement of technology has played an important role in the development of human civilization, along with cultural changes. Technology provides innovative ways of doing work through various smart and innovative means. 

Electronic appliances, gadgets, faster modes of communication, and transport have added to the comfort factor in our lives. It has helped in improving the productivity of individuals and different business enterprises. Technology has brought a revolution in many operational fields. It has undoubtedly made a very important contribution to the progress that mankind has made over the years.

The Advancement of Technology:

Technology has reduced the effort and time and increased the efficiency of the production requirements in every field. It has made our lives easy, comfortable, healthy, and enjoyable. It has brought a revolution in transport and communication. The advancement of technology, along with science, has helped us to become self-reliant in all spheres of life. With the innovation of a particular technology, it becomes part of society and integral to human lives after a point in time.

Technology is Our Part of Life:

Technology has changed our day-to-day lives. Technology has brought the world closer and better connected. Those days have passed when only the rich could afford such luxuries. Because of the rise of globalisation and liberalisation, all luxuries are now within the reach of the average person. Today, an average middle-class family can afford a mobile phone, a television, a washing machine, a refrigerator, a computer, the Internet, etc. At the touch of a switch, a man can witness any event that is happening in far-off places.  

Benefits of Technology in All Fields: 

We cannot escape technology; it has improved the quality of life and brought about revolutions in various fields of modern-day society, be it communication, transportation, education, healthcare, and many more. Let us learn about it.

Technology in Communication:

With the advent of technology in communication, which includes telephones, fax machines, cellular phones, the Internet, multimedia, and email, communication has become much faster and easier. It has transformed and influenced relationships in many ways. We no longer need to rely on sending physical letters and waiting for several days for a response. Technology has made communication so simple that you can connect with anyone from anywhere by calling them via mobile phone or messaging them using different messaging apps that are easy to download.

Innovation in communication technology has had an immense influence on social life. Human socialising has become easier by using social networking sites, dating, and even matrimonial services available on mobile applications and websites.

Today, the Internet is used for shopping, paying utility bills, credit card bills, admission fees, e-commerce, and online banking. In the world of marketing, many companies are marketing and selling their products and creating brands over the internet. 

In the field of travel, cities, towns, states, and countries are using the web to post detailed tourist and event information. Travellers across the globe can easily find information on tourism, sightseeing, places to stay, weather, maps, timings for events, transportation schedules, and buy tickets to various tourist spots and destinations.

Technology in the Office or Workplace:

Technology has increased efficiency and flexibility in the workspace. Technology has made it easy to work remotely, which has increased the productivity of the employees. External and internal communication has become faster through emails and apps. Automation has saved time, and there is also a reduction in redundancy in tasks. Robots are now being used to manufacture products that consistently deliver the same product without defect until the robot itself fails. Artificial Intelligence and Machine Learning technology are innovations that are being deployed across industries to reap benefits.

Technology has wiped out the manual way of storing files. Now files are stored in the cloud, which can be accessed at any time and from anywhere. With technology, companies can make quick decisions, act faster towards solutions, and remain adaptable. Technology has optimised the usage of resources and connected businesses worldwide. For example, if the customer is based in America, he can have the services delivered from India. They can communicate with each other in an instant. Every company uses business technology like virtual meeting tools, corporate social networks, tablets, and smart customer relationship management applications that accelerate the fast movement of data and information.

Technology in Education:

Technology is making the education industry improve over time. With technology, students and parents have a variety of learning tools at their fingertips. Teachers can coordinate with classrooms across the world and share their ideas and resources online. Students can get immediate access to an abundance of good information on the Internet. Teachers and students can access plenty of resources available on the web and utilise them for their project work, research, etc. Online learning has changed our perception of education. 

The COVID-19 pandemic brought a paradigm shift using technology where school-going kids continued their studies from home and schools facilitated imparting education by their teachers online from home. Students have learned and used 21st-century skills and tools, like virtual classrooms, AR (Augmented Reality), robots, etc. All these have increased communication and collaboration significantly. 

Technology in Banking:

Technology and banking are now inseparable. Technology has boosted digital transformation in how the banking industry works and has vastly improved banking services for their customers across the globe.

Technology has made banking operations very sophisticated and has reduced errors to almost nil, which were somewhat prevalent with manual human activities. Banks are adopting Artificial Intelligence (AI) to increase their efficiency and profits. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. 

You can now access your money, handle transactions like paying bills, money transfers, and online purchases from merchants, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe. You do not need to carry cash in your pocket or wallet; the payments can be made digitally using e-wallets. Mobile banking, banking apps, and cybersecurity are changing the face of the banking industry.

Manufacturing and Production Industry Automation:

At present, manufacturing industries are using all the latest technologies, ranging from big data analytics to artificial intelligence. Big data, ARVR (Augmented Reality and Virtual Reality), and IoT (Internet of Things) are the biggest manufacturing industry players. Automation has increased the level of productivity in various fields. It has reduced labour costs, increased efficiency, and reduced the cost of production.

For example, 3D printing is used to design and develop prototypes in the automobile industry. Repetitive work is being done easily with the help of robots without any waste of time. This has also reduced the cost of the products. 

Technology in the Healthcare Industry:

Technological advancements in the healthcare industry have not only improved our personal quality of life and longevity; they have also improved the lives of many medical professionals and students who are training to become medical experts. It has allowed much faster access to the medical records of each patient. 

The Internet has drastically transformed patients' and doctors’ relationships. Everyone can stay up to date on the latest medical discoveries, share treatment information, and offer one another support when dealing with medical issues. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many sites and apps through which we can contact doctors and get medical help. 

Breakthrough innovations in surgery, artificial organs, brain implants, and networked sensors are examples of transformative developments in the healthcare industry. Hospitals use different tools and applications to perform their administrative tasks, using digital marketing to promote their services.

Technology in Agriculture:

Today, farmers work very differently than they would have decades ago. Data analytics and robotics have built a productive food system. Digital innovations are being used for plant breeding and harvesting equipment. Software and mobile devices are helping farmers harvest better. With various data and information available to farmers, they can make better-informed decisions, for example, tracking the amount of carbon stored in soil and helping with climate change.

Disadvantages of Technology:

People have become dependent on various gadgets and machines, resulting in a lack of physical activity and tempting people to lead an increasingly sedentary lifestyle. Even though technology has increased the productivity of individuals, organisations, and the nation, it has not increased the efficiency of machines. Machines cannot plan and think beyond the instructions that are fed into their system. Technology alone is not enough for progress and prosperity. Management is required, and management is a human act. Technology is largely dependent on human intervention. 

Computers and smartphones have led to an increase in social isolation. Young children are spending more time surfing the internet, playing games, and ignoring their real lives. Usage of technology is also resulting in job losses and distracting students from learning. Technology has been a reason for the production of weapons of destruction.

Dependency on technology is also increasing privacy concerns and cyber crimes, giving way to hackers.

FAQs on Technology Essay

1. What is technology?

Technology refers to innovative ways of doing work through various smart means. The advancement of technology has played an important role in the development of human civilization. It has helped in improving the productivity of individuals and businesses.

2. How has technology changed the face of banking?

Technology has made banking operations very sophisticated. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. You can now access your money, handle transactions, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe.

3. How has technology brought a revolution in the medical field?

Patients and doctors keep each other up to date on the most recent medical discoveries, share treatment information, and offer each other support when dealing with medical issues. It has allowed much faster access to the medical records of each patient. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many websites and mobile apps through which we can contact doctors and get medical help.

4. Are we dependent on technology?

Yes, today, we are becoming increasingly dependent on technology. Computers, smartphones, and modern technology have helped humanity achieve success and progress. However, in hindsight, people need to continuously build a healthy lifestyle, sorting out personal problems that arise due to technological advancements in different aspects of human life.

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IELTS Essays on Technology – Discussion and Opinion Essays

Updated On Feb 21, 2024

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Writing essays is a crucial component of any coursework because it forces you to do things like clarify and organise ideas and information, analyse sources, and employ critical judgement, it improves knowledge and aids in the learning process. At school or at college, every student is required to write essays.

Well-organized essays will help you score a good band in the IELTS examination. Proper planning is the key to write good essays. You need to give yourself at least 10 minutes to frame the content before you start writing . The essay should contain 4-5 paragraphs and should be of  250 words or more. You have to grasp the central idea from the topic and try to explain it.

Below are some of the recently appeared topics with the sample answers which you can refer to:

Do you think that technological advancement has brought more harm than good?

The twentieth century has seen a vast development in the field of science and technology. This improvement in technology has also raised the standard of living of the people. But it has caused a lot of trouble to the environment. We need to understand its advantages and disadvantages to decide whether it has actually benefitted society.

On one side, we can say that technology has become more beneficial to society,  by facilitating easy communication. It has also improved the economic condition and transport facilities. Organizations have gone online. People are also benefitted through recent technologies like smartphones, laptops and also other electronic appliances. There are applications on smartphones such as “WhatsApp” which has replaced emails. We are able to get a lot of information at the click of a button.

On the other side, technology has certain drawbacks as well. Social connect has become less. There is software that is used to hack the data and there is no privacy for an individual. In a recent study, it is found that the students are neglecting their studies and end up getting poor grades due to recent technologies.

To conclude, we can say that there are more problems due to technological advancements than benefits.

Analysis of the structure of the essay:

Some people argue that technological inventions, such as smartphones, are making people socially less interactive. Discuss both views.

In the current era, you can see people spending more time on smartphones rather than socializing. Wherever you go, you can see people putting their heads down looking into their smartphones and not bothering about what is going on around them. This has become a new trend. As there are a lot of features that are available in smartphones, an individual is not able to stay away from it even for a second. Some features of smartphones are just like the personal computer and they provide a high level of entertainment and can be carried along wherever we go. This essay helps others to understand how smartphone technology impacts society.

The main advantage of a smartphone is that it has made communication easier and quicker. Now you can speak to any of your friends or relatives, in any part of the world. Not only that, but they can also share personal messages, photos, videos through social media.

Along with the benefits, there are also some adverse effects of smartphone addiction on society. The children are not socially active. They sit inside four walls playing games on smartphones and have distanced themselves from society. Even, adults are busy chatting with their friends on social networking sites and have become socially inactive. Even get-togethers have become less. People like to chat on social media more than talking face to face. Even if there are get-togethers, people will be busy with their smartphones instead of interacting with each other. Parents nowadays are busy with smartphones and they fail to attend to their children. Hence the children will be left alone.

To conclude, we can say that smartphones along with its advantages, have also increased the social gap and kept us far from each other.

Many things that used to be done at home by hands are now being done by machines. Discuss.

Technology is growing day by day. Many household works that were done manually earlier have been replaced by machines and can be completed automatically. This development has benefitted people a lot. This essay will explain how technology has helped people in different ways at home.

Man has invented many machines which can do most of the household work automatically such as; dishwasher, vacuum cleaner, the washing machine and so on. With the invention of these machines, women get a lot of leisure. And also this advancement has helped women in improving their standard of living. They will get more time to focus on their career.

Along with the advantages there are also some disadvantages that go with the situation. By the invention of different types of machinery, people are fully dependent on them. Previously, people used to do all the household work manually and stayed fit. But the advancement in technology has made people lazy. There is no physical involvement in household activities

To sum up, technology has made people more dependent on machines for household activities. Also, the advantage is that women can invest more time more on their careers and children rather than doing household chores.

Other Related Essays on Technology

The above are some essays that have recently appeared in the IELTS exam on the topic of Technology. You can also refer to some other sample essays on technology in order to practice for the IELTS exam . Some of the topics are given below:

• Advanced Science and Technology
• Some people think that the range of technology available to people is increasing the gap between the rich and the poor. Others think it has the opposite effect. Discuss both views and give your opinion.
• New technologies have changed the way children spend their free time. Do the advantages outweigh the disadvantages?
• Art, Culture, and Technology
• Modern technology now allows rapid and uncontrolled access and exchange of information. Far from being beneficial, this is a danger to our society. What is your view?
• The presence of technology in the classroom has become more and more apparent and offers students tremendous resources with which to supplement their education. Given time, technology will completely replace the traditional teacher in the classroom. Do you agree or disagree with the above statement? Give reasons for your answer and include any relevant examples from your own knowledge or experience.
• Computer technology has had more of a negative than a positive impact on society? How far do you agree with this statement? Support your views with reasons and/or examples from your own experience.
• Earlier technological developments brought more benefits and changed the lives of ordinary people more than recent developments ever will. To what extent do you agree or disagree?
• Some people believe that modern inventions have more problems as compared to their benefits. Do you agree or disagree?
• According to a recent study, the more time people use the Internet, the less time they spend with real human beings. Some people say that instead of seeing the Internet as a way of opening up new communication possibilities world- wide, we should be concerned about the effect this is having on social interaction. How far do you agree with this opinion?
• With the development of technology children are now living in a world that is completely different to what it was 50 years ago. What problems do this cause for society and the family?
• Modern technology is changing our world. This has advantages such as bringing people closer together through communication. It also has disadvantages such as destroying the differences between cultures. To what extent do you agree or disagree with this statement?

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Essay about technology advantages and disadvantages – Analytical Essay

Introduction

Technology is now a big part of our society and our foreseeable future. There is little room for people that wish to live without technology, and luckily, it is still advancing at a rate that has helped stave off stagnation. Here I analyze the advantages and disadvantages of technology

Thesis statement

I believe that for every advantage that technology brings us, it also brings us a disadvantage at the same time.

Analysis of cars on our roads

Cars and other vehicles are now readily available and are technologically advanced enough to be safe for use every day and to work as a reliable tool for getting people and goods from one place to another in a relatively short space of time.

The advantages of cars are that they are safe and that people can get to very specific places as per their own timeline. People do not have to rely on trains or planes in order to get to where they want to go, and they can set off at their own time and arrive when they wish without having to work around a train or plane schedule.

The disadvantage is that all forms of vehicle on our roads are polluting the atmosphere and are slowly killing the earth by adding to greenhouse gasses that do not allow the sun’s heat to escape. Even electric cars are powered by electricity generated by fossil fuels. Car accidents are also a very big killer worldwide and many lives have been lost because of car accidents/incidents.

Analysis of Smartphones

They allow people to stay in touch, even over long distances, and they are relatively safe and reliable to use. There are devices that can communicate with plus at the other end of the planet and getting and keeping in touch with other people is very easy.

The disadvantages to this is that it means people no longer need to meet in person as much, and interpersonal relationships are suffering worldwide because people are communicating through a small handheld device. Lots of people have Smartphones and they use them almost semi-continuously, including in public settings when they could be making new friends, finding new lovers, and talking/interacting with their current friends. Analysis – Fast and efficient Internet access

The advantages are that people can communicate over vast distances and can gain access to information and answers to their questions very quickly. The disadvantage is that the Internet isn’t moderated in the way that people think and a lot of it is filled with misinformation and outright lies.

Even brand-named websites that have a lot of trust are not accountable for what appears on their own websites. Even respected and branded news sites have stories that have passed through many people’s hands and originally started as lies with zero accountability throughout the dissemination process. For example, that is why so many celebrities have been reported as dead on news sites when they were actually alive. Conclusion

My analysis proves that technology is a good thing, and that is has its advantages, but that with each technological element we gain disadvantages as well as advantages, and many times those disadvantages are overlooked by technology users.

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Nasa nurtures promising tech ideas from small businesses.

Tiernan P. Doyle

Nasa headquarters.

New space technology ideas emerge every day from innovators across the country, and NASA’s Small Business Innovation Research (SBIR) program on Monday selected more than 100 projects for funding. This program offers small businesses in the United States early-stage funding and support to advance the agency’s goals of exploring the unknown in air and space while returning benefits to Earth.

Specifically, NASA’s SBIR program awarded $93.5 million in Phase II contracts to bring 107 new ideas to life from 95 selected small businesses. Of these businesses, nearly 80% have less than 50 employees, and 21% are receiving their first Phase II award, valued at up to $850,000 each. Each small business was also eligible to apply for up to $50,000 in Technical and Business Assistance program funding to help find new market opportunities and shape their commercialization roadmap.

“We are thrilled to support this diverse set of companies as they work diligently to bring their technologies to market,” said Jenn Gustetic, director of Early Stage Innovation and Partnerships with NASA’s Space Technology Mission Directorate (STMD) at the agency’s headquarters in Washington. “Inclusive innovation is integral to mission success at NASA, and we’re excited to see that 29% of the awardees are from underrepresented groups, including 11% women-owned businesses.”

In Phase II, awardees will build on their success from the program’s first phase to bring their technologies closer to real-world use. The companies have 24 months to execute their plans, which focus on their technologies’ path to commercialization.

For example, NASA selected women-owned and first-time NASA Phase II awardee nou Systems, Inc. in Huntsville, Alabama, for its genetic testing instrument. While portable genetic sequencing already exists, field sequencing – that would allow DNA analysis anywhere on Earth or off planet – remains unfeasible as the preparation of the DNA Library remains an intensely manual process, needing a trained wet lab technician and several pieces of laboratory equipment. The Phase II technology takes advantage of several cross-enabling technologies, creating an instrument to automate the genetic sequencing process.

“Our program works directly with small businesses to forge innovative concepts and technologies that drive impact for NASA projects as well as a myriad of commercial endeavors,” said Jason L. Kessler, program executive for NASA’s SBIR and Small Business Technology Transfer (STTR) program at NASA Headquarters. “This collaboration results in realized opportunities not only for NASA but all of humanity.”

This includes technologies aiming to reduce astronaut workload and improve robotic scientific endeavors on the Moon and Mars. PickNik Inc. based in Boulder, Colorado, will use its Phase II award to continue developing a hardware-agnostic platform for supervised autonomy that empowers humans to command a remote robot to complete complex tasks with minimal input, which could support the Artemis program. Outside of NASA, PickNik’s software product may be of interest to commercial space customers working on low Earth orbit destinations, in-space servicing, and more, as well as on Earth in areas like warehouse management, oil rig maintenance, and deep-sea exploration. 

The NASA SBIR program is open to U.S. small businesses to develop an innovation or technology. The program is part of STMD and managed by NASA’s Ames Research Center in California’s Silicon Valley.

To learn more about the NASA SBIR program, visit:

https://sbir.nasa.gov

Jimi Russell Headquarters, Washington [email protected] 202-358-1600

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New technology essay

Last updated Saturday , 16-03-2024 on 10:46 am

New technology essay ,about the importance of technology and contains all the information you seek for technology and its uses in our lives. All of this will be found here in New technology essay .

Technology has become one of the most important things that make it easier for us in our daily life to work, transport, entertainment and other things. All this will be identified here in New technology essay.

Technology is the Greek word that shows the knowledge of modern technologies as the basis for all areas of life, which has become an urgent necessity in the light of the information revolution , and thus highlights their role clearly and their importance on the personal or individual level and at the level of the family, society, countries and the world in general.

The importance of technology in our lives

Technology is the basis for bringing people together, and this is mainly in their creation of the best ways and means of communication between people, whether landline or mobile phone, to enable people who are separated by continents to reach each other within a few seconds easily.

The Internet  also have a great way of transforming the world into a small village where you can reach out to anyone anywhere in the world and talk to anyone by connecting to the network. This process takes only a few seconds.

The great development of the technologies provided by technology to mankind has in one way or another led to a scientific and cognitive revolution in light of the evolution in the means of discovering, acquiring, and developing information.

This has reflected positively on the human knowledge balance, thus increasing inventions that have facilitated human life.

Has greatly contributed to the development of the field of education through the provision of modern scientific and cognitive tools that facilitated the process of communicating information to students .

It also opened the horizons for students to the so-called self-learning without the need for a teacher and at any time they wish and in the field they wish to study also in isolation from the constraints of time and place.

Has facilitated human life in general, and our lives in particular through providing the best means of transport at all, making access to any destination in the world easy and enjoyable.

We have given you New technology essay, and you can read more about technology through the following link:

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There is definately a lot to learn about this issue. I like all the points you’ve made.

Hi, I found your content very interesting. I like this line the most”Has greatly contributed to the development of the field of education through the provision of modern scientific and cognitive tools that facilitated the process of communicating information to students”. All information you give to your are very relevant. I like your way how you write article’s so that it is easy to understand for your users.

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The Scope of Autonomous Vehicle Mobility with an Indian Context

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Consensus: How to Use It to Teach

Consensus is an AI tool that can help teach using research papers, in a widely adaptive new way

Consensus is an artificially intelligent tool that can be used in education to help make getting to the point a lot faster and easier.

As with many AI tools, it is geared toward taking the research work out of lesson prep -- or student study -- to save on time and get more out of the process.

Unlike using a search engine, for example, Consensus will let you directly access information from more than 200 million peer-reviewed research papers immediately. Ask a question and you'll have a selection of answers directly pulled from all that research, without actually having to trawl through it all yourself.

Read on to see how Consensus could help in your class.

What is Consensus?

Consensus is an AI tool that allows you to access research papers by simply typing in a question and getting a rich selection of answers back. Thanks to natural language processing, this is a very intuitive and clear process that can work for nearly anyone, even younger students.

Consensus not only offers a selection of answers to a question but also cites the source, provides more details from that paper, and does this several times so you can find the ideal result to suit your needs.

While there is plenty of detail here, everything is laid out with a top-level initial layout so it's simple to see at-a-glance but you can go deeper if needed. This makes it a viable tool for teachers doing research but also for students who might want to explore papers or a subject area in more depth, on their time.

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Since this is web-based, it is very easy to access from most devices, with a simple internet connection only needed to access such a powerful tool.

How does Consensus work?

Consensus uses natural language processing so you can ask a question as you might of a person and it will give you the answer in a similarly humanized way -- relevant to the way in which you asked. You also get to see how many citations of that particular excerpt have been used across papers.

Primarily, you get a summary of the results, in a small sentence, as well as showing how many papers from which this result came.

At the top of your results you have the option to filter, perhaps to search by year or journals. The ability to save the search is also available, as well as being able to share the results or copy the link. 

You will notice that there are not only results down the page but there is also a consensus meter at the top, which gives you a percentage of the results for yes, no, or possibly answers -- yup, this is how that Consensus name makes even more sense.

What are the best Consensus features?

Consensus is fantastically simple and lays out everything very clearly. But it's the depth and tools that really bring this into its own. 

For example, in each result you can select the drop-down Study Snapshot to get more details on that particular result, including the population studied, sample size, methods used, and outcome.

Tags are another helpful feature, by which you can see any relevant points at a glance under each result. For example, it might be tagged with RCT, which you can hover over to see that means this paper used a Randomized Control Trial. Or another is Highly Cited, in which it explains this is a result from a paper in the top five percent of the most highly cited in the database.

Usefully, this also offers alerts to be created so teachers and students can follow a subject they find interesting and get notified when any new research gets released. 

Two toggle options are available at the top, Synthesize and Copilot. The first will read several papers and synthesize a single answer, pulling in lots of sources. The second will allow you to get answers and generate content using an AI assistant. The Copilot requires you to sign up and have a membership to use.

If you want to cite a result this will even allow you to select the style of referencing that you want to use, including APA, MLA, Chicago, Harvard, and BibTeX, before you copy, ready to paste wherever you need.

How much does Consensus cost?

Consensus is free to use initially, allowing you to carry out a search and use the synthesize feature all without even singing up for the service -- although with limitations on the amount you can use.

You can also sign up, using email, and pay for more features. Or pay for the Premium service, at $8.99/month paid annually to make a 30% saving, to get unlimited GPT-4 summaries, unlimited consensus meters, unlimited study snapshots, unlimited copilot, bookmarks and lists, plus more features coming regularly.

Consensus best tips and tricks

Teach the latest Setup alerts on a subject or topic and teach the class based on new research as and when you get alerted to its release for exciting real-time learning.

Use in class Ask questions of the class and get them to do the same, using this tool to find the answers -- allowing you to also teach the class how the tool works.

Have students reference Set an assignment in which students use Consensus to research, cite, and quote from papers so they learn how to do so correctly.

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Luke Edwards is a freelance writer and editor with more than two decades of experience covering tech, science, and health. He writes for many publications covering health tech, software and apps, digital teaching tools, VPNs, TV, audio, smart home, antivirus, broadband, smartphones, cars and much more.

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The “Epic Row” Over a New Epoch

By Elizabeth Kolbert

A few months into the third millennium, a group called the International Geosphere-Biosphere Programme (I.G.B.P.) held a meeting in Cuernavaca, Mexico. Among the researchers in attendance was Paul Crutzen, an atmospheric chemist best known for his research on ozone-depleting chemicals, such as chlorofluorocarbons. For this work, Crutzen, a Dutchman living in Germany, had received a Nobel Prize, in 1995. In his Nobel lecture, he noted that, given humanity’s heedlessness, it had got off lightly. Millions of pounds of CFCs had been released into the air before anyone had considered the possible consequences. As a result of the chemicals’ behavior in the stratosphere, a “hole” had opened up in the ozone layer over Antarctica. But, if CFCs had turned out to behave just slightly differently, the hole would have stretched from pole to pole before scientists had even had the tools to measure it.

“I can only conclude that mankind has been extremely lucky,” Crutzen said.

At the I.G.B.P. meeting in Cuernavaca, Crutzen found himself growing agitated. His colleagues kept referring to the Holocene, the geological epoch that began at the close of the last ice age, about twelve thousand years ago. At the dawn of the Holocene, the global population was maybe four million—barely enough to fill a city like Sydney or St. Petersburg. By the time of the meeting in Mexico, there were more than six billion people on the planet, and human activity was fundamentally altering such basic Earth processes as the carbon cycle.

“Stop using the word ‘Holocene,’ ” Crutzen blurted out. “We’re not in the Holocene any more. We’re in the . . . ” He paused, searching for the right word. “We’re in the Anthropocene!” During the next coffee break, Crutzen’s neologism was the main topic of conversation. Someone suggested that he copyright the term.

As it turned out, the Anthropocene wasn’t Crutzen’s to claim. Eugene Stoermer, a biologist at the University of Michigan, had coined the word back in the nineteen-eighties, out of much the same frustration. Crutzen got in touch with Stoermer, and the two wrote an essay for the I.G.B.P. newsletter, laying out their case for a new age. Human activities, the pair argued, were altering the planet faster and more dramatically than the geological forces that had shaped it for most of its history.

“It seems to us more than appropriate to emphasize the central role of mankind” by using “the term ‘anthropocene’ for the current geological epoch,” the pair wrote. Not many people read the I.G.B.P. newsletter, so in 2002 Crutzen refashioned the essay for the journal Nature . He listed some of the ways that humans were altering the planet: chopping down rain forests, messing with the climate, and manufacturing novel chemicals, such as CFCs. Once again, Crutzen stressed how fortunate humanity had been so far. Had the ozone layer sustained more damage, large parts of the world could have been rendered uninhabitable. “More by luck than by wisdom, this catastrophic situation did not develop,” he observed.

Many researchers found Crutzen and Stoermer’s term useful. Soon the word “Anthropocene” began popping up in scientific papers. This, in turn, piqued the interest of stratigraphers—the subset of geologists who maintain the planet’s official timetable, the International Chronostratigraphic Chart. Had the Earth really entered a new epoch, in the stratigraphic sense of the term? And, if so, when? The International Commission on Stratigraphy (I.C.S.) set up the Anthropocene Working Group (A.W.G.) to look into the matter. It was still working away last month, when, in a vote that one group member described to me as “Putinesque,” a subcommittee of the I.C.S. decided against adding the Anthropocene to the timetable. The vote might have marked the end of the story, were it not that it was probably just the beginning. As another geologist put it to me, “Voting down the Anthropocene is a bit like trying to vote down plate tectonics. It’s real, it’s there, and we are going to have to deal with it.”

Stratigraphers are used to thinking in vast stretches of time. The International Chronostratigraphic Chart starts with the Hadean eon, which began with the birth of the planet, 4.5 billion years ago. The Hadean lasted five hundred million years and was succeeded by the Archean eon, which went on (and on and on) for 1.5 billion years. The Permian period spanned nearly fifty million years, the Cretaceous period eighty million. Within these periods there were many sub-periods—technically known as epochs—which also lasted a long time. The Cisuralian epoch of the Permian, for example, stretched over twenty-six million years.

But, the closer the chart gets to the present, the narrower the divisions become. The second most recent geological period, the Neogene, lasted just twenty million years. The current period, the Quaternary, began with the start of the ice ages, a mere 2.58 million years ago. The Quaternary is further divided into two epochs—the Pleistocene, which spanned 2.57 million years, and the Holocene, which, for now, is still ongoing.

To mark the boundaries between the various epochs and periods, the I.C.S. relies on what are formally called “global boundary stratotype sections and points” and informally known as “golden spikes.” For the most part, golden spikes are layers of rock that contain evidence of some notable shift in Earth’s history—a reversal of the planet’s magnetic poles, say, or the disappearance of a fossilized species. The golden spike for the start of the Triassic period, for example, is a layer of rock found in Meishan, China, and the shift it records is a mass extinction that killed off something like ninety per cent of all species on Earth. (The Chinese have set up a park in Meishan, where visitors can view the two-hundred-and-fifty-million-year-old rock layer in an exposed cliffside.) With golden spikes, again, the closer you get to the present, the more the present intrudes. In the case of the Holocene, the golden spike is a layer in an ice core from Greenland that’s stored in a freezer in Copenhagen. The layer consists of the compressed remains of snow that fell eleven thousand seven hundred years ago, which corresponds to the end of a cold snap known as the Younger Dryas.

With the exception of the Holocene, the start dates for geological ages have been determined millions of years after the fact. This means that whatever signal is being used to set them has withstood the test of time. The rocks of the Anthropocene, of course, do not yet exist. When the Anthropocene Working Group was formed, in 2009, its first task was to decide whether human impacts on the planet would still be discernible millions of years from now.

After several years of study, the group decided that the answer was yes. The carbon emissions from burning fossil fuels will leave a permanent signature in the rocks of the future, as will the fallout from nuclear testing. Novel ecosystems that people have created by moving plants and animals around the world will produce novel fossil assemblages. Meanwhile, traces of some of the trillions of tons of stuff humans have generated, from transistors to tanker ships, will be preserved, meaning that a whole new class of fossils will appear in the record—so-called technofossils. Before aluminum smelting was invented, in the nineteenth century, aluminum existed on Earth only in combination with other elements. Future geologists will thus be able to distinguish the current epoch via the remains of beer cans—the Bud Light layer.

These and other “distinctive attributes of the recent geological record support the formalization of the Anthropocene as a stratigraphic entity,” members of the A.W.G. noted in a paper that appeared in Science in 2016.

When Crutzen and Stoermer initially proposed the Anthropocene, they suggested that it had begun with the first stirrings of the Industrial Revolution, in the late eighteenth century. The A.W.G. considered this possibility, but ultimately rejected it. In the decades following the Second World War, resource consumption skyrocketed—a development that’s become known as the Great Acceleration. The fantastic growth in the production of new materials such as aluminum and plastic, the group decided, made a date closer to 1950 a more logical starting point for the new epoch.

Last summer, under pressure from the International Commission on Stratigraphy to finish its work, the A.W.G. announced its proposal for a golden spike. It chose a marker similar to the one used for the base of the Holocene, although, in this case, the core came not from an ice sheet but from a lake bottom.

Crawford Lake, which is about thirty miles southwest of Toronto, is what’s known as meromictic, which means that its top and bottom waters don’t mix. As a result of this and other unusual qualities, everything that falls into the lake, from pollen grains to radioactive particles, gets preserved in layers of sediment that can be very precisely dated. The idea was to designate the base of the Anthropocene as the layer of Crawford Lake sediment laid down in 1952—and, more specifically, as the 1952 layer preserved in one particular core kept in a freezer in Quebec. (The United States conducted the first H-bomb tests in 1952, and the fallout from these clearly shows up in the lake bed as a spike in plutonium.) The working group announced its choice of the Crawford Lake core while stratigraphers from around the world were gathered for a conference in Lille, France. But, in a sign of things to come, the group was barred from making the announcement at the conference hall and had to rent a room in a nearby hotel.

In the roughly two and a half centuries since the field of geology was founded, debates over dividing time have often turned nasty. In the eighteen-thirties, for example, several of Britain’s most prominent geologists traded insults in a dispute over rocks from what’s now known as the Devonian period, some four hundred million years ago. One of the parties to the controversy, Henry De la Beche, was a talented artist, and he lampooned his critics in a cartoon that pictured them facing a man with a large nose.

“This, gentlemen, is my nose,” the man says.

“My dear fellow!” the critics respond. “Your account of yourself generally may be very well, but as we have classed you, before we saw you, among men without noses, you cannot possibly have a nose.”

More recently, a fight over whether the Quaternary period should be absorbed into the Neogene caused a rift in the geological community that took many years—and almost as many votes—to resolve. (At one point, the International Union of Geological Sciences [I.U.G.S.], the parent organization of the International Commission on Stratigraphy, withheld funding from the I.C.S. over its handling of the dispute.) The Quaternary managed to survive, but many geologists who work on the Neogene viewed the decision as wrongheaded, and, after the final vote was taken, in 2009, petitioned to have it overturned.

“You come to the Neogene-Quaternary boundary, and there is nothing there,” one stratigrapher complained to Nature .

Even given this history, the fight over the Anthropocene has been a bitter one. On one side are those geologists who argue, à la Stoermer and Crutzen, that human activity has so altered the planet that it no longer makes sense to say we live in the Holocene. The most outspoken members of this camp tend—perhaps not surprisingly—to be members of the Anthropocene Working Group.

“To suddenly have these changes and still call it the Holocene, it becomes a little bit like the way some oceanographers talk about coral reefs,” Jan Zalasiewicz, a British geologist who led the Anthropocene Working Group for many years, told me. “It’s become a kind of zombie epoch. It’s formally still here, but the conditions that characterized it no longer exist.”

In the other camp are those who argue that the Anthropocene, pretty much by definition, lies outside the purview of stratigraphy.

“The stratigraphic record is the past,” Stanley Finney, a geologist at California State University who’s also the secretary-general of the International Union of Geological Sciences, wrote with Lucy Edwards, a stratigrapher with the U.S. Geological Survey. The Anthropocene, by contrast, “is the present and future.”

“It’s something we would need to look back on to understand whether this boundary has a function,” Philip Gibbard, a professor emeritus at the University of Cambridge who’s now the secretary-general of the I.C.S., told me. “Those who propose the boundary would say, Well, the Anthropocene is going to continue on into the future. But I’m afraid we don’t deal with the future as geologists. We only deal with what's preserved in the rock record.”

The simmering conflict came to a boil this past winter. As with many such disputes, this one morphed from a substantive argument into a procedural one. The members of the A.W.G. felt that they’d been railroaded by the I.C.S. into submitting a formal proposal before they were ready to. They also complained that, in the run-up to the vote, Anthropocene proponents, including Zalasiewicz, had been sidelined. (At the time, Zalasiewicz was the chairman of the voting subcommittee—the I.C.S.’s Subcommission on Quaternary Stratigraphy [S.Q.S.]—and the vote was held over his objections.)

“It was like a palace coup, basically,” Colin Waters, the chairman of the A.W.G. at the time, told me.

The final tally—twelve against declaring a new epoch, four in favor, and two abstentions—was released to the Times before most members of the A.W.G. had learned of it. Zalasiewicz—who, along with one of the other subcommittee members, had refused to cast a ballot—questioned the legitimacy of the tally on several grounds, including the fact that he, the chair, had not called it. His objections were quickly brushed aside by the I.C.S.’s governing board.

“ Quest to declare Anthropocene an epoch descends into epic row ,” a headline in the Guardian read.

“I can assure you that the claims that have been made by certain members of the Anthropocene Working Group are rubbish,” Gibbard, who, in addition to serving on the I.C.S. executive board, is a member of the Quaternary subcommission, told me. “They’re just sore losers. The trouble is that the Anthropocene Working Group had developed into nothing more than a—what can I say?—kind of a cult.”

In the interest of full disclosure, I should note that I am an Anthropocene partisan. This is not to say I have any particular knowledge of stratigraphy (though, with Zalasiewicz, I once visited the golden spike for the base of the Silurian period, a layer of rock in a cliffside in Scotland). It’s that I find the Anthropocene a helpful neologism—indeed, a necessary one. It’s a succinct way of communicating a messy and profoundly consequential reality. Human activity has become the major driver of change on Earth. And many of the ways in which we’re transforming the planet—by driving once-widespread species extinct or spreading microplastics around the globe—are irreversible across timescales both human and geological.

The term’s utility is, presumably, the reason that it was so widely adopted following Crutzen’s outburst. And its wide adoption, in turn, helps to explain why the recent I.C.S. debate became so charged.

Most laypeople don’t much care about, say, the start date of the Pleistocene. (It was recently moved back almost eight hundred thousand years.) Such abstruse questions seem far removed from present-day concerns. But the debate about the Anthropocene is about the present. It’s where stratigraphy meets the news cycle. Long before the I.C.S. had a chance to rule on it, the Anthropocene had become the subject of movies, books, and art exhibitions. The work of the A.W.G., meanwhile, was generously covered in the press. When the working group announced its decision to plant a golden spike in Crawford Lake, outlets from the Hindustan Times to Deutsche Welle ran stories on the choice.

Many geologists born before the proposed Anthropocene start date seem to have begrudged the would-be time period all this attention. “The Anthropocene epoch was pushed through the media from the beginning—a publicity drive,” Finney, the I.U.G.S. secretary-general, observed to Science dismissively.

The future of the Anthropocene as an official stratigraphic unit is, at this point, unclear. The A.W.G. dissolved after the vote, but, as several members of the group pointed out to me, the leadership of the I.C.S. is due to turn over this summer, after the quadrennial International Geological Congress, set to take place in South Korea. Kim Cohen, a Dutch geologist who, at fifty, is one of the younger members of the Subcommission on Quaternary Stratigraphy and who cast a “yes” vote for the new epoch, told me that he expects to see the Anthropocene added to the geological timescale within his life.

“I think many of my fellow S.Q.S. members will not see it,” he added by way of clarification.

But the Anthropocene’s future as an informal time period is assured. It’s too apt—and too important—a term to be abandoned. As Paul Crutzen pointed out in 2002, barring a “meteorite impact, a world war or a pandemic,” humans “will remain a major environmental force for many millennia.” Science recently summed up the situation this way: “ The Anthropocene is dead. Long live the Anthropocene .”

Crutzen died in 2021, so it’s impossible to know what he would have said about the recent I.C.S. vote. I imagine, though, that he would have responded to it much as he did to a question I posed to him back in 2010. What was important about the Anthropocene, he told me at that time, was not whether it was included in geology texts, but whether it prompted people to think more carefully about the consequences of their collective actions.

“What I hope,” he said, “is that the term ‘Anthropocene’ will be a warning to the world.” ♦

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What Do Admission Committees Look For in College Applicants?

When it comes time for your college or graduate school search, the application process can be the most daunting part. From asking for recommendation letters to writing a stellar essay, applying to college is no walk in the park, especially when you're juggling multiple applications at once. After finally submitting your application, you may be ready to take a deep breath and relax. But even still, you may find yourself asking questions such as, what will the admissions committee think of my application? Was my application good enough? Understanding what admissions looks for in applicants can help you craft a stellar application.

What Do Admissions Committees Look For in College Applicants?

College applications ask for a variety of information and materials, which may initially feel overwhelming. However, it's essential to view this process as your opportunity to personalize your application and showcase your unique strengths, interests, and experiences. College admissions officers typically look for a combination of academic achievements, extracurricular activities, personal qualities, and unique experiences, taking a holistic approach to evaluating college applicants. In this blog, we'll go over each criteria the admissions committee considers when reviewing college applications so that you can feel confident in your submission.

1. Academic performance

As you probably already know, a key component to a college application is academic performance . Whether you're applying to college from high school or looking to earn your master’s degree, there are several grade criteria that admissions take into consideration. Not only is your GPA considered, but the types of courses you took plays an important role. Taking rigorous courses such as AP courses in high school or upper-level courses in college will strengthen your academic profile. The admissions committee wants to see evidence of strong academic performance and the ability to handle college-level coursework.

2. Essays and personal statements

Essay prompts and personal statements are a common aspect of a college application. Personal statements and essays allow you as an applicant to showcase your personality, passions, interests, and writing abilities. These writing assignments are an excellent opportunity for you to show why you’d be a great fit for the college program you’re applying to. Admissions officers look for essays that are authentic, well-written, and demonstrate self-reflection. They also look to determine how the program will help you meet your goals. Be creative and most importantly, be yourself so that your essay can be compelling, memorable, and an accurate reflection of who you are.

3. Letters of recommendation

A letter of recommendation is your chance to further support your application from a different perspective. Letters of recommendation from teachers, counselors, coaches, supervisors, or mentors provide insights into an applicants' character, work ethic, and potential for success in college. A recommendation letter can offer anecdotes, examples, and observations that test scores and essays can’t. When requesting recommendation letters , ask academic or professional sources that you have developed a meaningful connection with and who can provide positive insights about your character and abilities. Strong letters of recommendation can help applicants stand out.

4. Extracurricular activities

Being involved in extracurricular activities can help demonstrate your well-roundedness and passions, which will further strengthen your application. Admissions committees will get a greater sense of who you are and what you are interested in, which can help them determine whether you’d be a good fit for the program. They also look to see how you are able to balance activity involvement with academics. If you’re involved in a few extracurriculars, be sure to highlight them in your application, whether it's a sports team, student club, volunteer work, or an internship.

5. Demonstrated interest

Another important factor that admission committee’s take into consideration when evaluating college applications is the students interest in the school and program they’re applying to. The committee wants to see a student’s demonstrated interest as it can help them determine that the student will fit with the campus culture and community, and that they are more likely to enroll in the school. Applying early, expressing your eagerness in your essays, showing off your knowledge of the school or program you're applying to, and attending college events such as open houses or information sessions are all ways you can demonstrate your interest to the committee.

Tips for Crafting a Standout College Application

Now that you have a better understanding of what goes on in the admissions process, here are a few tips to help you craft a standout college application.

1. Make your application strong where you can

Overall, the review of college applications by admissions is typically a holistic process and no single factor determines admission. If you feel that your application might be lacking in an area or two, you can likely compensate for it by showcasing strength elsewhere. If you have great writing skills, be sure to write a stellar essay. Or, if you participated in different extracurricular activities, highlight your accomplishments in your application. Be sure to make your application as strong as possible where you can.

2. Proofread

It may seem simple, but proofreading not just your essay, but all of your application material is a crucial part of your college application. Be sure to read over your personal statement, resume, essays, and any forms you fill out for any grammatical errors and spelling mistakes. Having a second pair of eyes can be helpful to catch any mistakes you may have missed, so don’t hesitate to ask a friend, family member, or teacher for help.

3. Stay organized

Chances are you aren’t applying to just one college. You may have a few top choices for universities you’d like to attend on your radar, and a few backup options for extra measure. Having several applications you're working on is even more reason to stay organized. Keep track of application deadlines, requirements, and submission materials for each college you're applying to. You can create a checklist or use a planner to stay organized throughout the process.

Create an outstanding college application

Crafting a great college application can be challenging, but understanding key components and guidelines can make the process easier and less stressful. When completing your application, try to do your best for each component and emphasize your strengths. All in all, the admissions committee simply wants to see if you’d be a good fit for the school, and having a strong application that aligns with your goals and the program will help you stand out. If you’re ready to begin the next step in your academic journey, apply to one of NJIT’s top-STEM programs today .

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Say Hello to Your Addiction Risk Score — Courtesy of the Tech Industry

By Maia Szalavitz

Ms. Szalavitz is a contributing Opinion writer who covers addiction and public policy.

Before Dr. Bobby Mukkamala — an ear, nose, and throat specialist in Michigan — prescribed postsurgical opioids recently, he checked state records of his patient’s existing controlled substance prescriptions, as legally required. A score generated by a proprietary algorithm appeared on his screen. Known as NarxCare (now used by most state prescription monitoring databases, major hospitals and pharmacy chains), the algorithm indicated his patient had an elevated risk of developing an addiction to opioid painkillers.

“I create a lot of pain when I operate,” said Dr. Mukkamala, who leads the American Medical Association’s Substance Use and Pain Task Force. “The nose and the face are very painful places to have procedures done.” Consequently, it is difficult to avoid prescribing opioids to manage pain.

Algorithms like NarxCare and a newly approved genetic test for opioid use disorder risk known as AvertD use machine learning techniques to try to help doctors reduce the odds that patients will become addicted to these medications.

Via NarxCare, most Americans now have an opaque equivalent of a controlled substance credit score, which they often don’t even know exists unless a doctor or pharmacist tells them that it’s a problem. (NarxCare’s manufacturer claims that its scores and reports “are intended to aid, not replace, medical decision making.”) And if it ever becomes widely used, AvertD, promoted as a way to use personalized genetics to assess risk, could put yet more difficult-to-challenge red flags on people’s records.

These tools may be well intentioned. But addiction prediction and prevention is a mind-bogglingly difficult task. Only a minority of people who take opioids become addicted, and risk factors vary for biological, psychological, sociological and economic reasons.

Even accurate scores can do harm, since addiction is stigmatized and often criminalized. Some people have been expelled from physicians’ practices for having high NarxCare scores, with no way of appealing the decision. Others were denied postsurgical opioids by nurses or turned away from multiple pharmacies, with little recourse.

These kinds of algorithms could potentially worsen race and class biases in medical decision making. It’s not hard to imagine a dystopian future of unaccountable algorithms that render some people forever ineligible for pain care with controlled substances.

Dr. Mukkamala noted that closer scrutiny of his recent patient’s medical history showed there really wasn’t reason for concern. “What’s inappropriate is for me to look at any number other than zero and say: ‘Boy, this person’s got a problem. I can’t prescribe them anything for their pain,’” he said. Many medical professionals, however, don’t have his level of knowledge and confidence. Prejudice against people with addiction is common, as is fear of being charged with overprescribing — and the algorithms’ scores only feed into those concerns. Different, also unaccountable, algorithms monitor physicians’ prescribing patterns and compare them with their colleagues’, so this is not an overblown concern.

When I reported on NarxCare in 2021 for Wired , I heard from patients who were left in agony. One said that she had her opioids stopped in the hospital and was then dismissed from care by her gynecologist during treatment for painful endometriosis, because of a high score. She didn’t have a drug problem; her score seems to have been elevated because prescriptions for her two medically needy rescue dogs were recorded under her name, making it appear she was doctor shopping. Another high-scoring patient had his addiction treatment medication prescription repeatedly rejected by pharmacies, even though such medications are the only treatment proven to reduce overdose risk.

More recent research and reporting confirm that scientists’ concerns about the widespread use of the software remain and that patients are still reporting encountering problems because of potentially incorrect risk assessments and medical staff members’ fears about disregarding NarxCare scores.

To generate risk scores, NarxCare apparently uses variables like the number of doctors someone sees, the pharmacies they visit and the prescriptions they get and compares an individual’s data with information on patterns of behavior associated with doctor shopping and other indicators of possible addiction.

But there is no transparency: The NarxCare algorithm is proprietary, and its information sources, training data and risk variables — and how they are weighted — aren’t public.

Another problem for NarxCare is that opioid addiction is actually quite uncommon — affecting 2 to 4 percent of the adult and adolescent population, despite the fact that a 2016 study shows some 70 percent of adults have been exposed to medical opioids. “Identifying somebody’s base line risk of opioid use disorder is inherently going to be pretty difficult,” said Angela Kilby, an economist who studied algorithms like NarxCare when she was an assistant professor at Northeastern University. “It’s sort of like trying to find a needle in a haystack.” The rarity of the condition possibly lowers the algorithm’s precision, meaning that most positive tests may be falsely positive simply because the base line rate of the disorder is low.

Research shows that about 20 percent of the time, people who are flagged as doctor shoppers by identifying risk factors similar to those apparently included in NarxCare in fact have cancer: They typically see multiple specialists, often at academic medicine centers where there may be teams of doctors writing prescriptions. The algorithm can’t necessarily distinguish between coordinated care and doctor shopping.

Likewise, people who are visiting multiple doctors or pharmacies and traveling long distances might be drug seeking, or they could be chronically ill and unable to find care locally. Some states also put information from criminal records into prescription monitoring databases, and this can lead to bias against Black and Hispanic people simply because racial discrimination means that they are more likely to have been arrested.

There’s also a more fundamental problem. As Dr. Kilby notes, the algorithm is designed to predict elevations in someone’s lifetime risk of opioid addiction, not whether a new prescription will change that trajectory. For example, if someone is already addicted, a new prescription doesn’t change that, and denying one can increase overdose death risk if the person turns to street drugs.

Recently, NarxCare has been joined in the addiction prediction game by AvertD, a genetic test for risk of opioid use disorder for patients who may be prescribed such medications, which the Food and Drug Administration approved last December. Research by the manufacturer, Solvd Health, shows that a patient who will develop opioid addiction is 18 times as likely to receive a positive result as a patient who will not develop it. The test, which looks for specific genes associated with motivational pathways in the brain that are affected by addiction, utilizes an algorithm trained on data from over 7,000 people, including some with opioid use disorder.

But that F.D.A. approval came, surprisingly, after the agency’s advisory committee for the test voted overwhelmingly against it. While the F.D.A. worked with the company behind the test to modify it based on the committee’s feedback, it has continued to raise concerns. And recently a group of 31 experts and scientists wrote to the F.D.A. urging it to reverse course and rescind its approval. Some of the group’s concerns echo the problems with NarxCare and its algorithm.

For a study published in 2021, Dr. Alexander S. Hatoum, a research assistant professor of psychological and brain sciences at Washington University in St. Louis, and his colleagues independently evaluated the algorithm elements used for a tool like AvertD, based on information published by the company. They found that all the iterations they tested were confounded by population stratification — a problem that affects genetic tests because they reflect the history of human ancestry and how it changed over time because of migration patterns.

When AvertD was being considered for F.D.A. approval, Dr. Hatoum and his colleagues wrote a public comment to the agency that said genomic variants used in the test were “highly confounded by genetic ancestry” and did not predict risk any better than chance when population stratification is not taken into account. (At a 2022 meeting, Solvd’s chief executive claimed AvertD adjusted adequately for population stratification; the F.D.A. did not reply directly to a question about this claim.)

Dr. Hatoum’s work also demonstrated that these tests could mislabel people who are descended from two or more groups that were historically isolated from each other as being at risk of addiction. Since most African Americans have such admixed ancestry, this could bias the test into identifying them as high risk.

“This means that the model can use the genetic markers of African American status to predict opioid use disorder, instead of using any biologically plausible genetic markers,” said D. Marzyeh Ghassemi, a professor at M.I.T. who studies machine learning in health care.

In an email, Solvd said that in its clinical study of AvertD, “no differences in performance were seen by race, ethnicity or gender,” adding that it was undertaking postmarketing tests as required by the F.D.A. to further evaluate the test. The company also critiqued Dr. Hatoum’s methodology, saying that his study “asserts a false premise.”

The F.D.A. said in a statement that it “recognizes that in premarket decision making for devices, there generally exists some uncertainty around benefits and risks,” adding that it had nevertheless “determined that there is a reasonable assurance of AvertD’s safety and effectiveness.”

Still, the agency has placed a black box warning on AvertD, forbidding its use in chronic pain patients and emphasizing that the test cannot be used without patient consent. But this is unlikely to be a genuinely free choice: Patients may fear being stigmatized as potentially addicted if they don’t agree to be tested. And false negatives that incorrectly label someone as low risk may conversely lead to careless prescribing.

Amid the opioid crisis, it is understandable that regulators want to enable technologies that could reduce risk of addiction. But they must ensure that such algorithms and devices are transparent as to their methods and limitations and that they reduce racial and other biases rather than reinforce them.

Maia Szalavitz (@maiasz) is a contributing Opinion writer and the author, most recently, of “Undoing Drugs: How Harm Reduction Is Changing the Future of Drugs and Addiction.

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