Top 10 Use Cases of Generative AI in Education in 2025

Generative AI is an advanced technology that can rapidly produce lifelike images, text, and animations. In our research, we examined its use across various industries, including healthcare and banking.

While other technologies, such as conversational AI and robotic process automation (RPA), are being implemented in education, generative AI is not being properly implemented in education.

Let’s explore the top 10 use cases of generative AI in education and how it’s driving change in classrooms and beyond.

1. Personalized Lessons

Personalized lesson plans are a powerful way to ensure that students receive an education tailored specifically to their needs and interests.

Generative AI–powered tutoring systems can:

• Adjust the difficulty of questions based on student performance
• Offer multiple ways of explaining complex concepts
• Simulate interactive problem-solving sessions
• Provide on-demand support outside the classroom

Real-life Examples

For example, Speechify is a generative AI in education tool. It offers text-to-speech or speech-to-text generation on desktops or online.¹

Khan Academy’s Khanmigo: Built on GPT-4, Khanmigo acts as a tutor and teaching assistant. It helps students solve problems step by step, encourages critical thinking rather than just providing answers, and even assists teachers by drafting lesson plans.

Duolingo Max: This premium version of Duolingo integrates GPT-4 to create conversational practice scenarios and explain learners’ mistakes in natural language, making language acquisition more engaging and personalized.

Socratic by Google: While not fully generative, Socratic leverages AI to guide students through problem explanations, showing how adaptive AI tools are becoming a key learning aid.

These kinds of generative AI tools in education are especially useful for children with learning disabilities such as dyslexia or ADHD. When a child suffers from a lack of concentration due to such disorders, it can be harder to follow the course content via reading. However, with such tools, they can generate texts into speech notes when they are bored.

2. Course Design

Generative AI tools can help design and organize course materials, including syllabi, lesson plans, and assessments. They can also personalize course material based on students’ knowledge gaps, skills, and learning styles, such as practice problems or interactive exercises. 

Generative AI can create simulations and virtual environments once paired with other technologies, such as virtual reality. Consequently, it offers more engagement and interactive courses, improving students’ learning experience.   

For example, a generative AI in education could create a virtual laboratory setting where students can conduct experiments, observe the results, and make predictions based on their observations.

3. Content Creation for Courses 

Generative AI can assist in creating new teaching materials, such as questions for quizzes and exercises, or explanations and summaries of concepts. This can be especially useful for teachers who need to create a large amount and a variety of content for their classes. By using AI, it is possible to create modified or brand-new content from the original content.

Furthermore, generative AI in education can facilitate generating additional materials to supplement the main course materials, such as: 

• Reading lists
• Study guides 
• Discussion questions 
• Flashcards
• Summaries. 

Additionally, AI can generate scripts for video lectures and podcasts, streamlining the creation of multimedia content for online courses. Image generation is another crucial capability of generative AI in education. Teachers may want to generate images with specific modifications that respond to particular course needs.

Real-life examples

Quizlet Q-Chat: Quizlet has integrated GPT-4 into its platform to create an AI tutor that interacts with students conversationally. It generates adaptive quizzes, explanations, and feedback in real time.

Canva Magic Write: Teachers increasingly use Canva’s generative AI tools to create presentation slides, lesson outlines, and visual learning aids quickly.

For example, NOLEJ offers an e-learning capsule that is AI-generated in only 3 minutes. This capsule offers an interactive video, glossary, practice exercises, and a summary for a target topic (see Figure 1 below).²

Figure 1. An example of AI-generated course content.³

More established companies are utilizing AI to create content that supports their primary products. ⁴  

4. Data Privacy Protection for Analytical Models

One advantage of using generative AI in education to create training data sets is that it can help protect student privacy. A data breach or cyberattack can expose sensitive personal information belonging to school-age children, putting their privacy at risk

Using synthetic data, which is created by AI models that have learned from real-world data, can provide anonymity and protect students’ personal information. Synthetic datasets generated by AI models are valuable for training other algorithms, offering both effectiveness and enhanced data security.

For more on how generated synthetic data enables data privacy, you can check out these articles:

• Synthetic Data vs Real Data: Benefits, Challenges
• Synthetic Data Generation Benchmark 

5. Restoring Old Learning Materials

Generative AI can enhance the quality of outdated or low-quality learning materials, including historical documents, photographs, and films. By utilizing AI to enhance the resolution of these materials, they can be brought up to modern standards and become more engaging for students accustomed to high-quality media.

These updates can also make it easier for students to read, analyze, and understand the materials, leading to a deeper understanding of the content and, ultimately, better learning outcomes.

Using a version of generative AI in education, Generative Adversarial Networks (GANs), it is possible to restore low-quality images and remove simple watermarks. In Figure 2 below, you can see a prototype for image restoration via GANs. Such image restoration can be adapted to educational materials. For example, in art and design schools, restoring old images would provide the detection of important details of artworks. Also in history classes and research, scanning and restoring old documents can be facilitated.

6. Virtual Tutoring 

Generative AI can be used to create virtual tutoring environments, where students can interact with a virtual tutor and receive real-time feedback and support. This can be especially helpful for students who may not have access to in-person tutoring.

According to academic studies, private tutoring for children with severe reading difficulty improved their reading skills by 50% in a year.⁶ However, providing tutoring to all students can be a challenge. Generative AI in education can tackle this issue by creating virtual tutoring environments. In these environments, students can interact with a virtual tutor and receive feedback and support in real-time. This can be especially helpful for students who may not have access to in-person tutoring.

Real-life Example

For example, TutorAI is trying to implement this kind of use of generative AI in education. It offers an educational platform that generates interactive content on a variety of topics.⁷

Another application of generative AI in education for teaching purposes is the implementation of chatbots for tutoring. According to Chatbot Life’s 2019 report, the education sector ranks as the third-largest industry using chatbot technology.⁸ Check out our conversational AI in education article and learn the top use cases.

Recently, ChatGPT from OpenAI has stormed the internet with its ability to engage in highly personalized conversations and provide definitive answers. It can answer course-related questions from various domains and even write essays on the target topic. 

7- Assessment & Feedback

Grading and providing feedback are among the most time-consuming tasks for educators. Generative AI helps by analyzing student work essays, problem sets, or projects and generating constructive, personalized feedback. It can also evaluate grammar, coherence, and argument quality, offering students immediate insights into how they can improve.

Generative AI in assessment can:

• Grade short-answer or essay responses with explanations
• Provide real-time feedback on drafts before submission
• Highlight grammar, style, and clarity issues for non-native speakers
• Suggest improvements without replacing human grading judgment

Real-life examples

ChatGPT for essay reviews: Students worldwide already use GPT models to polish drafts, get readability suggestions, and receive grammar corrections before submission.

Turnitin Draft Coach: While traditionally known for plagiarism detection, Turnitin has developed AI tools to provide formative writing feedback, including grammar checks and structure suggestions.

Gradescope (by Turnitin): Uses AI to speed up grading workflows, especially for large classes, by identifying common errors and allowing teachers to apply feedback consistently.

8-Critical Thinking

AI tools inspire creativity by encouraging students to think outside the box. Generative AI in education can create engaging scenarios for problem-solving tasks or generate stories for writing exercises, helping students develop critical thinking skills. Tools like DALL·E and MidJourney enable students to visualize abstract ideas, transforming imagination into tangible creations that enhance the learning experience.

9-Language Learning and Communication

Generative AI bridges language gaps by offering real-time translation, grammar correction, and pronunciation guidance. This makes education more inclusive for non-native speakers. For instance, tools like Grammarly and DeepL assist students in improving their writing skills, while AI-powered speech tools help in mastering new languages through real-time conversation feedback.

10-Gamified Learning Experiences

To enhance engagement, generative AI is used to gamify education by creating interactive quizzes and simulations. Gamified learning fosters interest and helps students retain knowledge through playful yet informative activities. Platforms like Kahoot! Use AI to design games that align with curriculum goals, making learning both fun and effective.

Challenges of generative AI in education

Although generative AI has considerable potential to enhance educational practices, it also poses some potential challenges. These are as follows:

• Biases in educational materials
• False or inaccurate information
• Abuse of it for self-interest
• Unemployment risks for some teachers or other education professionals

For more on generative AI

To explore more about generative AI, you can check our other articles:

• Top 122 Generative AI Applications
• AI Text Generation

Discover the top generative AI tools from our detailed list, sorted by category:

• Top 35+ Generative AI Tools

External Links

• 1. How text to speech helps an Individualized Education Program | Speechify.
• 2. Nolej. Accessed 16 January 2023.
• 3. Elearning Capsule (created by the AI in 3 min) - H5P.com.
• 4. OpenAI - developing next-gen AI tools for the good of humanity. - Digital Innovation and Transformation.
• 5. Introduction to GANs | Towards Data Science. Towards Data Science
• 6. “Evidence That Tutoring Works.” GovInfo. Accessed 3 January 2024.
• 7. Tutor AI - Your personal AI tutor to learn anything.
• 8. Chatbot 2019 Trends and Stats with Insider Reports | by Aslam Abbas | Chatbots Life. Chatbots Life