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AI赋能与科教融合双轮驱动的教学设计与实践：以配位化合物教学为例

隋琪1, 丁嘉2, 朱媚1, 钟兴2, 张伟1   

  1. 1 浙江理工大学化学与化工学院, 浙江 杭州 310018;
    2 浙江工业大学化学工程学院, 浙江 杭州 310014
  • 收稿日期:2026-07-13 录用日期:2026-08-11
  • 通讯作者: 张伟 E-mail:zhwei@zstu.edu.cn Wei Zhang
  • 基金资助:
    浙江省“十四五”第二批本科教学改革重点项目(JGZD2024020)，浙江省“十四五”第二批本科省级教学改革项目(JGBA2024148)，浙江理工大学校级教育教学改革研究项目(jgzd202515)，浙江理工大学校级课程建设项目(ZNRH202511)

Dual-driven teaching design and practice through AI-empowered research-education integration: a case of coordination compounds

Qi Sui1, Jia Ding2, Mei Zhu1, Xing Zhong2, Wei Zhang1   

  1. 1 School of Chemistry and Chemical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, Zhejiang Province, China;
    2 College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang Province, China
  • Received:2026-07-13 Accepted:2026-08-11
  • Contact: Wei Zhang E-mail:zhwei@zstu.edu.cn

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摘要： 配位化合物是无机化学、普通化学原理、工程化学等课程的核心知识之一，具有概念抽象、知识承上启下、理论与应用结合紧密等特点。针对传统教学过程中学生常面临“学习力不足、科学思维培养难、教学反馈滞后”等痛点，本文立足于科教融合与AI工具的结合，探索了一种将“功能配位化合物”前沿科研进展融入课堂的双轮驱动教学模式。结合团队科研特色，通过引入光致变色配位化合物真实科研案例，利用AI学情分析、知识图谱和动态反馈系统，构建了“课前-课中-课后”全链条智慧教学闭环。教学实践表明，该模式可有效激发学生的学习力，培养创新思维，并显著提升了自主解决复杂问题的能力。

关键词: 无机化学, 配位化合物, 科教融合, AI赋能, 智慧课程

Abstract: Coordination compounds represent a core topic in courses such as Inorganic Chemistry, Principles of General Chemistry, and Engineering Chemistry, featuring abstract theoretical frameworks and a strong theory-application nexus. In traditional instruction, students frequently encounter challenges including limited learning engagement, difficulties in developing scientific thinking, and delayed feedback on their progress. This paper adopts an AI-empowered research-education integration strategy to explore an effective teaching model. By combining the team's expertise in functional coordination compounds (e.g., photochromic compounds) with the appropriate AI tools (e.g., learning analytics, knowledge graphs, and dynamic feedback systems), a comprehensive teaching loop that seamlessly connects pre-/in-/post-class activities has been established. Teaching practice demonstrates that this model effectively stimulates student motivation, fosters innovative thinking, and significantly enhances their capacity to solve complex problems independently.

Key words: Inorganic chemistry, Coordination compound, Research-education integration, AI empowerment, Smart course