ARTIFICIAL INTELLIGENCE TOOLS IN PHYSICS EDUCATION: ENHANCING TEACHING AND LEARNING PROCESSES
Keywords:
Artificial Intelligence, Physics Education, Intelligent Tutoring Systems, Machine Learning, Educational Technology, Personalized Learning, Digital Learning ToolsAbstract
The rapid development of artificial intelligence (AI) has significantly influenced various fields, including education. In recent years, AI-based tools have been increasingly integrated into physics education to enhance teaching effectiveness and improve students’ learning outcomes. This paper explores the role of artificial intelligence tools in physics education, focusing on their applications, benefits, and challenges. The study reviews recent literature on AI-powered educational technologies such as intelligent tutoring systems, virtual laboratories, adaptive learning platforms, and automated assessment tools. The findings indicate that AI tools support personalized learning, promote conceptual understanding, and increase student engagement in physics classrooms. However, challenges related to technological infrastructure, teacher preparedness, and ethical considerations remain significant. The paper concludes that while artificial intelligence has strong potential to transform physics education, its successful implementation requires careful pedagogical planning and professional development for educators.
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