Generative Models for Personalized Learning
Rajesh Kumar Dhanaraj, K. Balasamy, Umapriya Rajendran, Suganyadevi Sellappan, Rohan Jaikumar · 2025
This chapter considers a potential for generative models to transform personalized learning by following personal characteristics and education impact on an individual student. Other applications for Key AI include content creation, with tools that can produce tailored learning resources such as quizzes and simulations or study guides which adapt in real time based on the student’s progress and preferences. Artificial Intelligence (AI) driven adaptive assessment systems provide immediate feedback to students which helps them pinpoint their place of weakest and reinforce the same through individual practice. By recognising the flexibility of generative AI, we can create these unique learning journeys that remain fresh and keep students engaged. Models like GANs and GPT could fundamentally restructure education by enabling a personalized path for each learner.