Personalized learning assistants have emerged as a key area in educational technology, fueled by Artificial Intelligence (AI) progress. This report presents the development of a customized learning assistant using artificial intelligence (AI). The system adaptively recommends learning materials, answers questions, and provides feedback based on user preferences. Leveraging techniques such as natural language processing (NLP), recommendation systems, and user modeling, the prototype achieves dynamic personalization. The evaluation demonstrated high precision in material recommendations and intense user satisfaction, paving the way for future enhancements in AI- driven education.
Adapter Learning, Recommendation System, Artificial Intelligence (AI), Natural Language Processing (NLP), Personalized Learning
IRE Journals:
Olawale Jimoh Babatunde , Adedeji Ogunmusi
"Developing a Personalized Learning Assistant Using AI" Iconic Research And Engineering Journals Volume 5 Issue 11 2022 Page 454-463
IEEE:
Olawale Jimoh Babatunde , Adedeji Ogunmusi
"Developing a Personalized Learning Assistant Using AI" Iconic Research And Engineering Journals, 5(11)