AI Algorithms for Analysing Student Strengths, Weaknesses, and Learning Styles to Tailor Educational Content and Pace

Abstract

The utilization of Artificial Intelligence (AI) technology in learning has explored new horizons in the area of personalized learning, providing an unmatched experience in modifying the educational approach for every student in out. This extensive article discusses the history and development of AI systems that are meant to assess the abilities, comprehension, andapproach to learning of students and adjust the learning materials and the speed for which they should be absorbed accordingly. This paper examines the nature of the educational system that has been created with the use of artificial intelligence, how useful it is for the improvement of the quality of training, as well as the difficulties, risks, and morals of using this kind of the system. The literature review embraces many artificial intelligence (AI) components such as machine learning, natural language processing, and computer vision in the environment of facilities ranging from basic education to extended education and training. Our review has shown that AI-enabled personalized learning designs bring in positive outcomes enhancing students’ engagement and learning outcomes; but there is still ample room and work yet to be done in looking at diverse learning challenges and providing enough access to such technology for everyone.