examples of artificial intelligence in education

TECHNOLOGIES

AI in education: top applications, real-life examples, and adoption tips

March 25, 2024

Artificial intelligence
AI in education

by Viktoriya Shamkina ,

ML Engineer

Artificial intelligence in education is applied to improve learning outcomes and supports teachers in developing better educational practices. From automatic assignment grading to tailored curriculums, there are many ways AI solutions can be used in educational institutions.

AI has the potential to revolutionize education, transforming it from a system focused on memorizing facts into one that helps students unlock their full potential and learn necessary skills through more personalized learning. And as AI technology develops, it is becoming increasingly accessible for educators to deploy AI tools in their classrooms and provide personalized learning experiences.

invested in AI in education in 2020 despite the coronavirus pandemic

global AI in education CAGR from 2022 to 2030

Grand View Research

Table of contents

AI technology types
Real-life examples
Implementation

8 applications of AI in education

AI-based educational technologies can unlock new opportunities for their students, faculty, and staff. Let’s explore the most common ways artificial intelligence is applied in education.

Learning process personalization

AI-based platforms can collect and analyze student data on interaction with educational materials, exercise completion time, test results, and overall performance to understand each student's attitudes and needs. Drawing on this data, generative AI tools can design personalized training pathways and adapt them in real-time to the learner’s progress.

For example, when an AI-powered system detects that a student learning the English language is having difficulties, it can generate personalized listening, speaking, reading, or writing exercises and provide immediate feedback upon their completion. Such a system can also present content in various interactive formats to accommodate different learning styles and preferences.

Scheme title: Operating scheme of an intelligent adaptive teaching platform Data source: deloitte.com—Global development of AI-based education

Learning outcomes prediction

ML-based education solutions are capable of processing previously collected data on students' academic performance, attitudes, and social conditions and categorizing them into different archetypes. Subsequently, the algorithms can compare and identify relationships between these categories of learners and their typical schooling outcomes.

This ability can be leveraged by professors to choose the best teaching methods and programs based on their students' skills and needs. But it's also an invaluable tool for educational institutions, which can leverage predictive analytics software to identify in advance students at risk of dropping out of college or not graduating on time due to poor grades, absenteeism, or tardiness and support them before it's too late.

Automation of mundane teacher tasks

Artificial intelligence can help teachers perform the most tedious and time-consuming tasks, such as test evaluation with proper grading software, saving time for interacting with students. Such tools are already perfectly capable of correcting multiple-choice and true-false exercises, but thanks to the current proliferation of large language models for natural language processing, they will be more and more efficient in checking short-written answers and essays and assessing writing skills.

Scheme title: Potential reallocation of working hours via automation technologies

Note: average for respondents in Canada, Singapore, United Kingdom, and United States

Data source: McKinsey & Company — How artificial intelligence will impact K-12 teachers

Administrative workflows

Assistance for special needs students, resource planning, curriculum design, ongoing assistance during learning, ready to revolutionize education with ai, benefits of ai in education, for students, better learning experience.

By creating a personalized learning experience for each student and tailoring materials to their specific skill set and needs, AI gives students a greater degree of control over their educational experience.

Improved self-educational skills

In this new day and age, critical thinking, problem-solving, and creativity are playing an increasingly important role in our careers. By providing students with instant feedback on their work, AI allows them to identify patterns quickly and come up with creative solutions.

For educators

More efficient schools.

By automating routine tasks and providing targeted recommendations, AI can free up time for educators to focus on strategic decision-making and engaging with students.

Better engagement

It’s common knowledge that students learn better when they are interested in the subject. With AI-generated insights on students’ interests and learning goals, teachers can make students feel more valued and supported and take targeted actions to improve their commitment to the studied subjects.

For parents

Easier monitoring of child’s progress.

Students whose parents take an active part in their higher education are more likely to attend college regularly, take advanced classes, and excel academically. AI-based learning outcomes prediction tools help parents participate more actively in their child’s education by providing frequent insights into the student’s progress and allowing them to timely intervene if their child is falling behind.

For school management

Easier decision-making.

With AI-driven insights, the decision-makers get access to data-backed analyses of student performance, enrollment trends, and curricular opportunities and can make better decisions faster.

Optimized resource allocation

Streamlining a gamut of school management and administrative tasks, AI makes educational institutions more efficient.

Reduced staff turnover

By applying AI to automate a huge load of time-consuming administrative tasks, educators can focus on more engaging activities and become more likely to continue teaching.

Types of AI technologies in education

Learner-supporting AI

Adaptive learning tools
Tools that measure attention, empathy, and emotion
Virtual assistant chatbots
Tools for automatic writing evaluation
Personalized learning platforms
Intelligent language learning apps
Personalized content curation platforms

Teacher-supporting AI

Web-scraping tools
Intelligent scheduling and course planning
Solutions or automatic assignment grading
Classroom management tools
Curriculum design tools
Student progress analytics platforms

Institution-supporting AI

Admission management platforms
Emotional support chatbots
Resource planning systems
Dropout prediction tools
Enrollment management and forecasting tools
Campus safety and security tools

Emerging technologies in education to pair with AI

Technology/description, value for education, description, virtual reality.

VR provides a computer-generated 3D simulation of reality.

VR can be used to enhance student learning in both medical and technical fields by providing immersive, interactive experiences that simulate real-world scenarios. For example, students can learn about anatomy and physiology by exploring and interacting with 3D models of organs, bones, and other parts of the human body in a fun and engaging way.

Augmented reality

AR overlays digital information onto a physical environment.

AR technology can be applied to enhance the educational experience by superimposing digital information onto physical objects. This allows students to learn more about the studied subject while they experiment in the real world.

IoT is a network of physical devices embedded with electronics, sensors, software, and connectivity capabilities that collect and exchange data.

IoT devices allow teachers and administrators to get real-time data from classrooms, ranging from lighting and temperature levels to desk use, student attendance, and more. Drawing on this data, they can better understand how students learn in the classroom.

Real-life examples of AI in education

Duolingo’s language-learning application is a great example of an AI-based learning platform integrating a smart bot to interact with students. Its famous tutor/mascot is a cheerful but insistent green owl that motivates users to do daily exercises. Duolingo's personalized learning approach includes an initial positioning test to scan the user's skills and a progressive readjustment of the proposed activities' difficulty based on previous performance and results achieved. The ultimate goal is to maintain an optimal level of challenge and keep learners engaged, also thanks to a points-based reward system.

Image title: Duolingo main page Data source: duolingo.com

Khanmigo by Khan Academy is an AI tutor and teaching assistant powered by GPT-4 and Khan Academy's world-class content library with capabilities for teachers, students, and parents. After piloting it in selected US schools and school districts, Khan Academy has recently made Khanmigo available to the public. Operating as an always-available chatbot in a user’s Khan Academy interface, Khanmigo provides students with personalized assistance in subjects like math, reading, writing, or computer science, coaching them and helping them prepare for tests. Teachers can also use Khanmigo to create effective lesson plans and tasks for students based on student assessments. Finally, Khanmigo not only provides parents with standard parent control features like monitoring chat activities but can also explain the subjects their child is studying so that they can assist them with schoolwork.

Revolutionizing the way students and faculty learn, Nuance's speech recognition software called Dragon Speech Recognition transcribes up to 160 words per minute with effortless accuracy. Nuance allows teachers to cut the time it takes to create lesson plans and syllabi and helps students to improve their spelling and word recognition. This innovative technology is especially beneficial for users with accessibility requirements, as it allows them to navigate documents by voice.

StepWise is an AI-powered educational platform developed by US-based Querium with the mission of revolutionizing how students learn STEM subjects. The platform employs AI-based analytics to accurately assess the student’s progress in a given subject and provides personalized instructions based on the student’s individual learning needs. The platform also uses machine learning algorithms to uncover difficult concepts and help the student better understand them. StepWise provides a comprehensive set of tools, such as interactive lessons, adaptive quizzes, and real-time feedback, to ensure that the student stays engaged throughout their learning session.

Carnegie Learning

Carnegie Learning is an AI-based educational software developer that provides curriculum and assessment materials to K-12 schools. The company's flagship product, Cognitive Tutor, uses artificial intelligence technology to adapt its teaching approach to the student's individual performance. By leveraging adaptive learning techniques, students receive personalized instructions that help them better understand the material. The dynamic feedback loop provided by the software also allows teachers to track student progress and make informed decisions about lesson plans.

Image title: Screenshot from Cognitive Tutor Algebra curriculum Data source: researchgate.net

Our AI services for the education domain

If you are looking for a reliable development partner on your journey to transform education, Itransition offers a full range of AI services.

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Project budgeting and ROI analysis
Risk management strategy creation
User training and support

AI development

We help build innovative AI-driven solutions by covering all aspects of the development project:

ETL/ELT pipeline setup
Data cleansing, annotation, transformation
Data security setup
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Software integrations
Data visualization setup
Quality assurance activities
Deployment to the production environment
Post-launch support, updates and modernization

Education is ripe for AI-based transformation

Ai in education: implementation strategy.

Successful AI implementation in the education market requires careful consideration and strategic planning.

First, it is important to understand the core elements of AI-based approaches and how they can be used in educational settings. This includes examining the use cases and applications of ML, NLP, and deep learning. Next, it is important to assess the current state of AI-based solutions in educational contexts. This includes looking at the availability of products and services that can be incorporated into an AI-based approach, as well as the level of sophistication that more forward-looking schools and universities achieved using these technologies. Additionally, it is important to understand the legal and ethical implications of implementing AI-based systems in educational settings.

The next step is to develop a comprehensive plan for implementing AI-based solutions in your educational institution. This includes defining specific objectives, setting appropriate metrics and targets, and coming up with the project’s timeline. Additionally, you need to identify the necessary skills, resources, and technologies required to build an AI-based system. You can also research the most suitable vendors or organizations that provide these services, as well as create a development budget.

Finally, it is essential to establish a governance structure for AI-based solutions in educational settings, which involves creating a set of guidelines and protocols to ensure that the AI-based system is compliant with all applicable laws and regulations. Additionally, it requires creating a process for monitoring the use of AI-based solutions in the education sector and ensuring that data privacy is maintained throughout the implementation process.

AI in education challenges and their potential solutions

Data privacy concerns.

AI applications require large datasets to operate effectively, which may jeopardize the security and privacy of student information.

Education institutions should have clear policies and procedures in place to protect student data privacy, such as user authentication, limited access to sensitive information, and encryption of stored data.

Cost of implementation

Implementing AI-powered solutions can be expensive for schools due to the cost of hardware and software required, as well as the cost of teaching the staff how to use new technologies.

The most effective way educational institutions can cut AI costs is by opting for out-of-the-box SaaS solutions instead of building AI solutions from scratch. Schools can also work with vendors that provide educational discounts to make AI implementation more affordable.

Lack of technical expertise

Educators often lack AI literacy and the necessary technical skills to effectively utilize AI in their classrooms.

To address this challenge, institutions should invest in training for teachers and staff on the use of AI technology and create support systems to help them integrate it into their teaching methods.

Generative AI abuse

Students can use OpenAI’s ChatGPT and similar tools for cheating and plagiarizing essays and other assignments, as well as spreading misinformation by creating fake news and reports.

Education policymakers need to establish guidelines regarding responsible generative AI use and provide teachers with effective tools for content filtering and plagiarism detection. Additionally, educators need to spread awareness about the consequences of generative AI tools’ unfair use and emphasize the importance of integrity and ethical behavior.

Limited tools for measuring impact

Measuring the effectiveness of AI-powered solutions can be difficult due to the lack of suitable frameworks or standards.

You first need to understand precisely what problems does your AI aims to solve and then develop custom metrics for each problem to measure the solution’s impact on student performance and outcomes.

Revolutionize education with AI

One of the most promising EdTech trends, AI has the potential to revolutionize how we learn and teach. Education leaders should promote the adoption of AI-powered systems across schools, colleges, and universities to gain insights into student behavior and preferences; personalizing learning experiences to meet each student's needs better; automate some of the more mundane tasks associated with teaching, and improve outcomes by providing students with tailored feedback. Furthermore, AI-powered systems can reduce operational costs by automating and streamlining operations, making the education process more efficient. If you are looking for a reliable development partner on your journey to transform education, don’t hesitate to contact Itransition’s experts.

How is AI changing education?

AI is transforming the way education is delivered, helping create personalized learning experiences and automating assessment. AI systems can be used to generate tailored content for individual students, identify gaps in their knowledge, and monitor student progress across courses.

Is AI the future of education

AI has the potential to revolutionize the way educational institutions develop and deliver content, assess student performance, measure outcomes, and make decisions. Overall, AI-enabled technologies can help the education system improve learning standards by enabling more effective teaching methods and better allocation of resources.

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Artificial intelligence in education

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and accelerate progress towards SDG 4. However, rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. UNESCO is committed to supporting Member States to harness the potential of AI technologies for achieving the Education 2030 Agenda, while ensuring that its application in educational contexts is guided by the core principles of inclusion and equity. UNESCO’s mandate calls inherently for a human-centred approach to AI . It aims to shift the conversation to include AI’s role in addressing current inequalities regarding access to knowledge, research and the diversity of cultural expressions and to ensure AI does not widen the technological divides within and between countries. The promise of “AI for all” must be that everyone can take advantage of the technological revolution under way and access its fruits, notably in terms of innovation and knowledge.

Furthermore, UNESCO has developed within the framework of the Beijing Consensus a publication aimed at fostering the readiness of education policy-makers in artificial intelligence. This publication, Artificial Intelligence and Education: Guidance for Policy-makers , will be of interest to practitioners and professionals in the policy-making and education communities. It aims to generate a shared understanding of the opportunities and challenges that AI offers for education, as well as its implications for the core competencies needed in the AI era

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The UNESCO Courier, October-December 2023

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by Stefania Giannini, UNESCO Assistant Director-General for Education

International Forum on artificial intelligence and education

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Through its projects, UNESCO affirms that the deployment of AI technologies in education should be purposed to enhance human capacities and to protect human rights for effective human-machine collaboration in life, learning and work, and for sustainable development. Together with partners, international organizations, and the key values that UNESCO holds as pillars of their mandate, UNESCO hopes to strengthen their leading role in AI in education, as a global laboratory of ideas, standard setter, policy advisor and capacity builder. If you are interested in leveraging emerging technologies like AI to bolster the education sector, we look forward to partnering with you through financial, in-kind or technical advice contributions. 'We need to renew this commitment as we move towards an era in which artificial intelligence – a convergence of emerging technologies – is transforming every aspect of our lives (…),' said Ms Stefania Giannini, UNESCO Assistant Director-General for Education at the International Conference on Artificial Intelligence and Education held in Beijing in May 2019. 'We need to steer this revolution in the right direction, to improve livelihoods, to reduce inequalities and promote a fair and inclusive globalization.’'

Artificial Intelligence (AI) in education: Impact & Examples

AI in education is being used from chatbots that provide 24/7 support to personalized learning algorithms that adapt to each student's needs.

In recent years, there has been a growing trend in higher education to incorporate modern technologies and practices in order to improve the overall educational experience. Learning management systems, gamification, video assisted learning, virtual and augmented reality, are some examples of how technology has improved student engagement and education planning. Let’s talk about AI in education. The classroom response system allowed students to answer multiple-choice questions and engage in real-time discussions instantly.

Despite the many benefits that technology has brought to education, there are also concerns about its impact on higher education institutions. With the rise of online education and the growing availability of educational resources on the internet, many traditional universities and colleges are worried about the future of their institutions. As a result, many higher education institutions need help to keep pace with the rapid technological changes and are looking for ways to adapt and stay relevant in the digital age.

By now, you’ve probably heard about ChatGPT, the AI chatbot developed by OpenAI, that has been taking social media by storm. But what exactly is ChatGPT, and why is everyone talking about it? We asked it directly, and here is a comprehensible answer for non-tech people:

“ChatGPT is a computer program that is designed to understand and respond to human language in a natural and human-like way. Think of it like a virtual assistant or a chatbot that can understand and respond to written or spoken language. It’s been trained on a large dataset of text from the internet and it can be used for a variety of tasks such as answering questions, translating languages, and even writing creative text. For example, it could be used in education to create an intelligent tutoring system that can understand and respond to student inquiries, or in customer service to help people with their questions.”

Current State of AI in Education

Currently, AI is being used in education in various ways, from chatbots that provide 24/7 student support to personalized learning algorithms that adapt to each student’s needs.

AI market research tools are also being used to automate administrative tasks, such as grading assignments and providing feedback. Additionally, AI is being used to analyze large amounts of data to identify patterns and insights that can inform the development of new educational strategies and policies.

There are many examples of successful AI-powered educational tools and platforms currently in use. Some of the most popular include:

Duolingo : a language learning app that uses AI to personalize lessons for each user
ALEKS : an AI-powered math learning platform that provides adaptive assessments and personalized learning plans
Coursera : which uses AI to recommend courses to students based on their interests and previous learning history.

QuestionPro : Recently, QuestionPro has announced QxBot , a feature that will allow you to create surveys and evaluations in seconds. Here’s a quick demonstration of this amazing feature that will be a huge help in your next academic research:

While there are many benefits to using AI in education, limitations and challenges need to be addressed. One of the biggest challenges is ensuring that AI-powered tools and platforms are accessible to all students, regardless of their socioeconomic status or location. Additionally, there are concerns about the potential for AI to perpetuate existing biases and discrimination in education.

Additionally, many educators worry that AI-powered tools may replace human interaction and affect classroom teaching quality. Ensuring that AI is used in a way that complements, rather than replaces, human educators will be important in the coming years.

You may also be interested in: Top 10 Educational Apps

Potential of Artificial Intelligence in Education

Artificial intelligence (AI) has the potential to revolutionize the way we think about education. From personalized learning algorithms to virtual and augmented reality, AI-powered tools and technologies are helping to enhance the learning experience for students in ways we never thought possible.

AI has the potential to provide a wide range of benefits for education. One of the most significant is the ability to personalize each student’s learning experience. With AI, educators can analyze student performance and preferences data to create customized lesson plans and assessments that align with each student’s unique strengths and weaknesses. Additionally, AI can automate administrative tasks such as grading, freeing up time for educators to focus on other important aspects of teaching.

AI-powered tools and technologies can also enhance the learning experience for students in a number of ways. For example, virtual and augmented reality can make learning more interactive and immersive, while chatbots and other AI-powered tools can provide 24/7 student support. Additionally, AI can be used to create personalized quizzes and games that help students to engage with the material in a fun and interactive way.

Personalized learning is one of the most exciting potential benefits of AI in education. With the ability to analyze data on student performance and preferences, AI can help educators to create customized lesson plans and assessments that align with each student’s unique strengths and weaknesses. This can improve student experience and motivation, and ultimately lead to better academic outcomes.

AI and ChatGPT can revolutionize academic research by processing and analyzing large amounts of data quickly, uncovering new discoveries, generating hypotheses and conducting literature reviews faster than traditional methods. ChatGPT can assist researchers in writing papers by providing feedback and suggestions, and even generate parts of the text. Additionally, it can be used in natural language processing such as text summarization, sentiment analysis, and language translation for analyzing unstructured data.

However, it’s important to note that these capabilities must be used in conjunction with human intelligence, as AI and ChatGPT can only provide suggestions and support, and the final decision and responsibility of the results are still on the researchers.

Challenges and Concerns of AI in Education

While there are many benefits to using AI in education, there are also ethical considerations that need to be addressed. One of the biggest concerns is the potential for AI to perpetuate existing biases and discrimination in education. Additionally, there are concerns about the impact of AI on student privacy and data security.

Educators have also pointed out the chatbot’s ability to generate meaningful responses to questions from assessments and exams . And it’s often not possible to attribute these responses to a particular source – making it difficult to detect plagiarism.

Another concern is the potential for job displacement in the education sector as technology continues to advance. With the automation of many administrative tasks, there may be fewer jobs available for educators and support staff.

Ensuring equal access to AI-powered education for all students is also a challenge that needs to be addressed. With the growing availability of online education and educational resources on the internet, it is important to ensure that all students, regardless of their socioeconomic status or location, have access to these resources.

While AI has the potential to revolutionize the way we think about education, there are still many challenges and concerns that need to be addressed.

It is important for researchers and developers to continue to explore the potential of AI in education and to work towards addressing the challenges and concerns that may appear as this kind of technology keeps improving and being implemented in the current education system.

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