对 ChatGPT 提供的有关乳酸盐、运动、疲劳和肌肉疼痛的信息进行批判性分析:当前的见解和未来的改进前景

IF 1.7 4区 教育学 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
Rizia Rocha-Silva, Mila Alves Matos Rodrigues, Ricardo Borges Viana, Fernanda Patti Nakamoto, Rodrigo Luiz Vancini, Marilia Santos Andrade, Thomas Rosemann, Katja Weiss, Beat Knechtle, Claudio Andre Barbosa de Lira
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引用次数: 0

摘要

生理学教育进展》,印刷版前。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critical Analysis of Information Provided by ChatGPT on Lactate, Exercise, Fatigue, and Muscle Pain: Current Insights and Future Prospects for Enhancement
Advances in Physiology Education, Ahead of Print.
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来源期刊
CiteScore
3.40
自引率
19.00%
发文量
100
审稿时长
>12 weeks
期刊介绍: Advances in Physiology Education promotes and disseminates educational scholarship in order to enhance teaching and learning of physiology, neuroscience and pathophysiology. The journal publishes peer-reviewed descriptions of innovations that improve teaching in the classroom and laboratory, essays on education, and review articles based on our current understanding of physiological mechanisms. Submissions that evaluate new technologies for teaching and research, and educational pedagogy, are especially welcome. The audience for the journal includes educators at all levels: K–12, undergraduate, graduate, and professional programs.
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