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AI in education: top applications,
real-life examples & adoption tips
August 6, 2026
Artificial intelligence in education is applied to improve learning outcomes and supports teachers in developing better educational practices. From automatic assignment grading to tailored curricula, 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 the technology develops, educators are increasingly turning to AI software development to deploy these tools in their classrooms and provide personalized learning experiences.
25.9%
the expected global AI in education market CAGR from 2026 to 2033
60%
of K-12 educators use AI tools for work
26%
of teens consider chatbots to be extremely or very helpful for completing their schoolwork
Top applications of AI in education
AI-based educational technologies can unlock new opportunities for their students, faculty, and staff. The most common ways artificial intelligence algorithms are applied within educational environments include, but are not limited to, learning process personalization, learning outcomes prediction, teacher task automation, and curriculum design.
Learning process personalization
AI platforms analyze data on student interactions with educational materials, along with test results and exercise completion times, to identify learning gaps. Powered by generative AI, educational solutions use these insights to create custom training pathways that adapt in real-time.
For instance, if a student struggles with algebra, the AI-powered system automatically adjusts the curriculum by breaking down complex topics into smaller parts, simplifying tasks, and reintroducing essential concepts. Such a system can also present content in various interactive formats to accommodate different learning styles and preferences.
Scheme title: AI-powered education platform architecture
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
AI-driven automation software significantly reduces the administrative burden on educators. By introducing automated grading software powered by machine learning and large language models (LLMs) for multiple-choice and short-answer assessments, teachers can save 6 hours each week to focus on high-value activities like one-on-one student mentoring and creative lesson planning.
Administrative workflows
Educational institutions can use AI to automate many administrative activities, including the processing of student applications, enrollment, facility management, HR procedures, recruiting, and many more. Indeed, powering administrative tasks and customer service with AI may be the decisive factor in cutting costs, enhancing management efficiency, and improving responsiveness to students' needs.
That's why the Department for Education of the United Kingdom decided to adopt a system that can autonomously process digital correspondence and, therefore, speed up its follow-up rate to incoming emails. This solution was developed in collaboration with Capgemini and involves robotic process automation technology enhanced by AI.
Assistance for special needs students
AI-powered assistive technology ensures equitable access to education for students with disabilities. Key AI-enabled capabilities include text-to-speech for students with visual impairments, speech-to-text for people with motor difficulties, and personalized emotional support for neurodivergent students to navigate social-emotional learning at their own pace.
Resource planning
In addition to enhancing student outcomes, AI can also streamline managing school infrastructure. For example, AI can perform time-consuming and error-prone resource planning tasks like calculating the right amount of food, learning materials, or stationery and ensuring it's timely purchased and delivered. Especially with many uncertainties caused by the pandemic, being able to quickly adapt to new conditions has never been more important for schools.
Data-driven curriculum design
Creating a curriculum is a notoriously difficult task, as the knowledge base and its relevance are constantly changing. While AI is excellent at providing personalized lesson plans for individual students, it can also provide immense value in changing school or even national-level curricula for the better.
AI algorithms analyze large-scale data to define student engagement, competencies, academic performance, challenges, and learning interests. These insights allow curriculum and instructional designers to identify outdated materials and pedagogical approaches and replace them with high-impact teaching methods and programs that align with current industry demands and student learning behaviors.
Ongoing assistance during learning
The combination of ML-driven adaptive learning and natural language processing makes virtual assistants extremely flexible and, consequently, a valuable ally for learners. Chatbots and generative artificial intelligence tools operate 24/7, providing students with feedback and support whenever a question arises and helping students keep up with their studies. Virtual assistants also can't judge students, helping them experiment and be less anxious about making mistakes, which many students tend to be in the classroom in front of their teachers and classmates.
Ready to revolutionize education with AI?
Benefits of AI in education
AI-driven solutions can open the door to major improvements in learning and teaching, benefiting students, educators, parents, and school management alike.
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
Reduced burnout
AI tools help lighten educators' workload by automating attendance tracking and assignment grading.
Data-backed insights
By processing vast amounts of data, AI tools provide valuable insights into student progress, enabling data-driven decision-making for educators.
Better engagement
Teachers can improve student engagement by using AI-generated content to make lessons more interactive and relevant to student interests.
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 solutions in education
From chatbots and content generation tools to predictive analytics solutions, AI powers diverse solutions used by students, teachers, and administrators.
AI in education
Learner-
supporting AI
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
supporting AI
Web-scraping tools Intelligent scheduling and course planning Solutions for automatic assignment grading Classroom management tools Curriculum design tools Student progress analytics platforms
Institution-
supporting AI
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
Apart from artificial intelligence, there is a broad range of technologies that can improve the learning experience, including virtual reality, augmented reality, and the Internet of Things.
Technology Technology/Description | Description | Value for education |
|---|---|---|
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 | 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
Among the prominent examples of AI-powered digital learning solutions are Duolingo, Khanmigo, Nuance, StepWise, and Carnegie Learning's Cognitive Tutor, which help improve student engagement, learning accessibility, and the effectiveness of the educational process.
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 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 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.
Our certified AI consultants provide advisory support at every step of the AI implementation or optimization process:
- AI use case identification
- Data mapping and data quality assessment
- Current technological environment audit
- Initial project setup advisory
- Development process review
- AI solution architecture design
- Tech stack selection
- MVP conceptualization
- Project budgeting and ROI analysis
- Risk management strategy creation
- User training and support
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
- AI algorithm selection
- AI model training
- Software integrations
- Data visualization setup
- Quality assurance activities
- Deployment to the production environment
- Post-launch support, updates, and modernization
Ensure seamless AI adoption in your educational setting with expert help
AI in education: implementation strategy
A strategy for successful AI adoption in education covers three steps, from assessing available AI-based solutions to planning their implementation and monitoring them post-launch.
1 Assessment | 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 have achieved using these technologies. Additionally, it is important to understand the legal and ethical implications of implementing AI-based systems in educational settings. |
|---|---|
2 Planning | 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. |
3 Monitoring | 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 & their potential solutions
Implementing AI-powered solutions in education is typically associated with several major challenges related to data privacy risks, high implementation costs, and limited technical expertise. Also, educational institutions have to deal with generative AI misuse and the difficulty of measuring the impact of AI-powered solutions.
Challenge | Solution | |
|---|---|---|
Data privacy concerns |
AI applications require large datasets to operate effectively, which may jeopardize the security and
privacy of student information.
| To mitigate data privacy risks, educational institutions need to implement robust data governance frameworks and data security measures, including end-to-end encryption, multi-factor authentication, and strict compliance with regulations like GDPR and FERPA. Data anonymization is also critical when training local ML models. |
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 generative AI tools for cheating and plagiarizing essays and
other assignments, as well as spreading misinformation by creating fake news and reports.
| Instead of banning tools like ChatGPT, educators should focus on developing AI literacy and promoting ethical use of AI systems among students. Implementing AI-assisted plagiarism detection tools and shifting toward oral assessments or in-class writing can help maintain academic integrity while preparing students for an AI-driven workforce. |
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 your AI aims to solve and then develop custom metrics for each problem to measure the solution's impact on student performance and outcomes. |
About Itransition
Providing IT consulting and software development services since 1998
5+ years of AI development and consulting experience
Dedicated AI/ML Center of Excellence
AI Platform on Microsoft Azure specialization
Delivering AI solutions compliant with HIPAA, GDPR, and other industry standards
Strategic partnerships with Microsoft and AWS
ISO 9001- and ISO 27001-certified quality and security management
Clients ranging from startups to Fortune 500 companies
4.9 overall Clutch rating
Industry recognition from Gartner, Forrester, Everest Group, and Deloitte
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; personalize 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.
Drive digital transformation with Itransition's AI solutions
FAQs
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.
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.
AI agents can detect when students are struggling with a specific topic or task based on the analysis of their academic performance and engagement patterns, enabling proactive student support. For educators, AI agents automate routine administrative tasks like scheduling meetings, sending deadline reminders to a large number of students at once, processing attendance records, or managing course registration. Moreover, AI agents help educators evaluate assignments, draft lesson plans and educational materials in the preferred format, including text, audio, and video, as well as translate complex notions into simpler definitions and deliver them in the required language to support non-native language speakers.
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