Integrating ChatGPT and dynamic visualization in physics education
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Jiasheng Wu
[1]
;
Jinyi Yang
[1]
;
Qiyu Chen
[1]
;
Jinglu Zhang
[1]
;
Jiawei Song
[1]
;
Wei Zhuang
[1]
-
[1] Nanjing Normal University
Nanjing Normal University
China
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- Localización: The Physics Teacher, ISSN 0031-921X, Vol. 63, Nº. 7, 2025, págs. 612-613
- Idioma: inglés
- Enlaces
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Resumen
The rapid development of generative artificial intelligence (GenAI) has introduced unprecedented innovations in the field of education.1 Generative AI models, such as ChatGPT and DALL-E, have demonstrated groundbreaking capabilities in multimodal content generation and logical reasoning, opening new avenues for innovation in physics education.2 Currently, there are mainly two trends in terms of integrating Generative AI into physics education: automation of question generation and feedback3,4 and collaborative generation of multimodal content.5 Despite these advancements, existing studies mainly focus on single-modality applications, either text based or image based. This paper investigates the integration of ChatGPT-driven reasoning and HTML-based dynamic visualization through the analysis of a physical phenomenon in a da Vinci manuscript. The objective is to provide students with more effective tools for exploring physics and to deepen their comprehension of complex theories through enhanced visualization.6,7
