大学化学 >> 2026, Vol. 41 >> Issue (8): 103-110.doi: 10.12461/PKU.DXHX202508024

教学研究与改革 上一篇    下一篇

物理化学实验智慧课程AI助教的使用实践与思考

邱丽娟, 朱莉娜, 沈海云, 邵松雪, 王海媛   

  1. 天津大学理学院化学系, 化学化工国家级实验教学示范中心, 天津 300354
  • 收稿日期:2025-08-05 录用日期:2025-10-13 发布日期:2026-08-25
  • 通讯作者: 朱莉娜 E-mail:linazhu@tju.edu.cn Lina Zhu
  • 基金资助:
    天津大学2025–2026年度校级实验室建设与管理改革项目(LAB2025-07)；2025年产学合作协同育人项目(2502244815)

Implementation and insights: AI teaching assistant in smart physical chemistry laboratory course

Lijuan Qiu, Lina Zhu, Haiyun Shen, Songxue Shao, Haiyuan Wang   

  1. National Demonstration Center for Experimental Chemistry and Chemical Engineering Education, Department of Chemistry, College of Science, Tianjin University, Tianjin 300354, China
  • Received:2025-08-05 Accepted:2025-10-13 Published:2026-08-25
  • Contact: Lina Zhu E-mail:linazhu@tju.edu.cn

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摘要： 随着人工智能技术的飞速发展，智慧课程建设已成为高等教育改革的重要方向，AI助教技术在物理化学实验课程中的应用为解决传统实验教学中的诸多问题提供了新的可能性。本文介绍了天津大学物理化学实验智慧课程AI助教的建立概况，并阐述了AI助教在教学中的实践应用以及应用后的反思与拓展，为推动高校实验课程的智能化改革提供可借鉴的实践经验。

关键词: 物理化学实验, AI助教, 实验教学, 教学资源

Abstract: The rapid advancement of artificial intelligence technology has positioned smart course development as a pivotal aspect of higher education reform. In physical chemistry laboratory instruction, AI teaching assistant technology presents innovative solutions to longstanding challenges in conventional experimental pedagogy. This article details the implementation of an AI teaching assistant system within Tianjin University's smart physical chemistry laboratory course, examining its practical deployment, post-implementation evaluations, and potential extensions. The findings offer actionable insights for advancing intelligent transformation of laboratory courses in higher education settings.

Key words: Physical chemistry experiment, AI teaching assistant, Laboratory instruction, Teaching resources