Personalized learning includes understanding goal and the capability of the particular individual for grasping things easily. It also means that the student learning experience is tailored to their needs and also to the factors like the speed at which they learn,the way they learn and the technology they want to use.

Personalized learning is a way to use AI that focuses on making the training fit for a particular individual student as they can recieve training at their own pace.

AI can work upon each students data and know information such as their performance, strength, weaknesses and learning pace. Then it can provide Content according to their need.

AI can also be used to transform teaching pattern from old traditional way to newly automated smart content creation. It can help student by closing the skill gap and develop critical thinking and effective learning. It can explain things to them easily in the mother tongue.

The potential of generative AI in education is significant but requires a comprehensive, nuanced and rights-based approach. By balancing policy development, cutting edge research and cultural localization efforts we can successfully integrate generative AI in educational settings.