Exploring the Educational Landscape of AI: Large Language Models' Approaches to Explaining Conservation of Momentum in Physics

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The integration of Large Language Models (LLMs) in education offers both opportunities and challenges, particularly in fields like physics that demand precise conceptual understanding.

• This study examines the capabilities of six state-of-the-art LLMs in explaining the law of conservation of momentum, a fundamental principle in physics.
• By analyzing responses to a consistent, simple prompt in Japanese, we assess the models' explanatory approaches, depth of understanding, and adaptability to different educational levels.Our comprehensive analysis, encompassing text characteristics, response similarity, and keyword usage, unveils significant diversity in explanatory styles across models.
• ChatGPT4.0 and Coral provided more comprehensive and technically detailed explanations, while Gemini models tended toward more intuitive approaches.