ENHANCING PHYSICS EDUCATION WITH AI: A COMPREHENSIVE REVIEW OF THE LITERATURE

Abstract

This paper presents a comprehensive literature review exploring the applications of artificial intelligence (AI) in physics education. Through a systematic analysis of academic databases, relevant research was synthesized to examine AI's role in concept introduction, personalized learning, social interaction, and assessment [1].  The findings highlight the positive impact of AI on enhancing conceptual understanding and improving instructional methods [2]. However, the review also identifies challenges related to infrastructure, teacher training, data privacy, and ethical considerations.  [1] Based on these findings, the paper concludes with recommendations for future research and effective AI implementation in physics education, offering valuable insights for educators, researchers, and policymakers.