大学化学 >> 2025, Vol. 40 >> Issue (5): 291-300.doi: 10.12461/PKU.DXHX202412015

所属专题： AI赋能化学教育

教学研究与改革 上一篇    下一篇

人工智能赋能物理化学实验课程的设计与思考

崔美荣, 谢茉, 晁洁   

  1. 南京邮电大学材料科学与工程学院, 南京 210023
  • 收稿日期:2024-12-02 修回日期:2025-01-15 发布日期:2025-05-21
  • 通讯作者: 崔美荣, 晁洁 E-mail:iammrcui@njupt.edu.cn;iamjchao@njupt.edu.cn
  • 基金资助:
    南京邮电大学2022年教学改革研究项目(JG03022JX69)

Design and Reflections on the Integration of Artificial Intelligence in Physical Chemistry Laboratory Courses

Meirong Cui, Mo Xie, Jie Chao   

  1. School of Materials Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  • Received:2024-12-02 Revised:2025-01-15 Published:2025-05-21
  • Contact: Meirong Cui, Jie Chao E-mail:iammrcui@njupt.edu.cn;iamjchao@njupt.edu.cn

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摘要： 教育数字化是我国开辟教育发展新赛道的重要突破口，人工智能为教育赋能成必然趋势。基于智慧教学模式的探索，本文对人工智能赋能物理化学实验课程的设计原则进行具体的分析，提出人工智能赋能物理化学实验平台的具体设想，并评估我校初步的实践效果，为促进传统化学实验教学模式向更加智能化方向转变提供了新的视角。

关键词: 人工智能, 物理化学, 教学设计, 智能辅助, 个性化学习

Abstract: The digitalization of education represents a significant breakthrough for China in exploring new pathways for educational development, and the integration of artificial intelligence into education is an inevitable trend. This article analyzes the design principles for incorporating artificial intelligence into physical chemistry laboratory courses, based on the exploration of intelligent teaching models. It presents a concrete vision for an artificial intelligence-enabled physical chemistry laboratory platform and evaluates the initial practical outcomes at our institution. This research provides a novel perspective for advancing the transformation of traditional chemistry laboratory teaching methods towards a more intelligent approach.

Key words: Artificial intelligence, Physical chemistry, Teaching design, Intelligent assistance, Personalized learning