This paper looks at a proposal of an AI, powered e, learning platform with features such as adaptive personalization, real, time analytics, personalized learning experiences, and the best content recommendations. this research an AI, powered e, learning platform is proposed which consists of features such as personalized learning experiences, adaptive assessments, real, time analytics, and intelligent content recommendations. With the help of AI tools, the platform monitors students progress, interests, and performance and accordingly provides them with the right resources and quizzes for their needs. Real, time analytics pave the way for educators to identify student learning trends and main areas of improvement, while intelligent recommendation systems offer appropriate study materials. With these features, the platform not only increases students motivation and academic performance but also makes the teaching process more straightforward and effective. One of the great things about this platform is that it can also make quizzes from video lectures automatically, thus, the learners can check their understanding immediately. Furthermore, the platform features an AI, powered video summarization tool that condenses lengthy video material into a brief summary, thus, the user can get an idea of the major concepts and save time. By leveraging these functionalities, the platform does more than just facilitate adaptive learning; it also addresses issues like content overload and passive learning.
Ishant Chauhan, Gaurav Kumar, Kalpendra Kumar and Dheeraj Kumar Singh (Fri,) studied this question.