ENHANCING PHYSICS EDUCATION WITH AI: A COMPREHENSIVE REVIEW OF THE LITERATURE
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https://doi.org/10.8224/journaloi.v74i2.857##semicolon##
Artificial Intelligence##common.commaListSeparator## physics##common.commaListSeparator## education##common.commaListSeparator## methodologies##common.commaListSeparator## machine learningसार
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.
