1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.ed-ph2024★ 1 cited
The Honorific Effect: Exploring the Impact of Japanese Linguistic Formalities on AI-Generated Physics Explanations
Keisuke Sato
This study investigates the influence of Japanese honorifics on the responses of large language models (LLMs) when explaining the law of conservation of momentum. We analyzed the o…
physics.ed-ph2024
Exploring the Educational Landscape of AI: Large Language Models' Approaches to Explaining Conservation of Momentum in Physics
Keisuke Sato
The integration of Large Language Models (LLMs) in education offers both opportunities and challenges, particularly in fields like physics that demand precise conceptual understand…