大学化学 >> 2025, Vol. 40 >> Issue (9): 238-244.doi: 10.12461/PKU.DXHX202504069

所属专题： AI赋能化学教育

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生成式人工智能助力物理化学教学

袁汝明, 张来英, 徐晓明, 吴平平, 傅钢   

  1. 厦门大学化学化工学院, 化学国家级实验教学示范中心(厦门大学), 福建 厦门 361005
  • 收稿日期:2025-04-28 录用日期:2025-06-19 发布日期:2025-09-16
  • 通讯作者: 袁汝明 E-mail:yuanrm@xmu.edu.cn
  • 基金资助:
    基础学科拔尖学生培养计划2.0研究课题(20222108)

Generative Artificial Intelligence Empowering Physical Chemistry Teaching

Ruming Yuan, Laiying Zhang, Xiaoming Xu, Pingping Wu, Gang Fu   

  1. National Demonstration Center for Experimental Chemistry Education (Xiamen University), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian Province, China
  • Received:2025-04-28 Accepted:2025-06-19 Published:2025-09-16
  • Contact: Ruming Yuan E-mail:yuanrm@xmu.edu.cn

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摘要： 随着生成式人工智能(GAI)技术的突破性发展，其在教育领域的应用为传统课程改革提供了全新思路。本文以物理化学课程为切入点，提出并实践了一种以人工智能赋能的教学改革方案，借助DeepSeek的自然语言理解和推理能力，与Xmind、Mathematica以及即梦AI有机整合，构建层级清晰、结构系统的思维脑图，实现动态知识关联与智能扩展；并将复杂数学模型以动态、可交互的形式呈现，突破抽象数学障碍；同时将相关知识点以高精度的示意图或小视频形式展示，实现教学内容的“可视化、可交互、可移动”传达，为化学教育数字化转型提供实践路径。

关键词: DeepSeek, 思维脑图, 可交互

Abstract: The groundbreaking advancements in Generative Artificial Intelligence (GAI) technology have introduced novel perspectives for reforming traditional educational curricula. This study focuses on physical chemistry courses, presenting and implementing an AI-enhanced teaching reform strategy. By harnessing DeepSeek’s capabilities in natural language understanding and reasoning, we have developed an integrated approach incorporating Xmind, Mathematica, and JiMing AI. This integration facilitates the creation of a systematic, hierarchical mind map that enables dynamic knowledge connections and intelligent expansion. Furthermore, complex mathematical models are transformed into dynamic, interactive representations, effectively overcoming the challenges posed by abstract mathematical concepts. Additionally, key concepts are presented through high-precision diagrams and concise video demonstrations, achieving a “visual, interactive, and mobile” delivery of educational content. This approach provides a practical framework for the digital transformation of chemistry education.

Key words: DeepSeek, Systematic hierarchical mind map, Interactivity