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价值引领数智赋能“波谱分析”研究生课程建设探索与实践

朱伟钢1,2, 陈丹丹3, 王建凤1,2, 李婧4, 王建辉1,2   

  1. 1 天津大学理学院化学系, 智能传感功能材料全国重点实验室, 有机集成电路教育部重点实验室, 天津市分子光电科学重点实验室, 天津 300072;
    2 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(天津大学), 天津 300354;
    3 北京市第五实验学校, 北京 100070;
    4 天津理工大学材料科学与工程学院, 天津 300384
  • 收稿日期:2026-05-20 录用日期:2026-07-07
  • 通讯作者: 李婧 E-mail:lijing@email.tjut.edu.cn Jing Li
  • 基金资助:
    教育部产学合作协同育人项目；天津市级新形态教材建设项目； 2025年天津市高等学校研究生教育改革研究计划项目；天津大学研究生教材建设项目；天津大学2025年研究生创新人才培养项目

Exploration and practice of value driven digital intelligence empowering graduate course construction of spectral analysis

Weigang Zhu1,2, Dandan Chen3, Jianfeng Wang1,2, Jing Li4, Jianhui Wang1,2   

  1. 1 Key Laboratory of Molecular Optoelectronics Science, Key Laboratory of Organic Integrated Circuits, Ministry of Education, State Key Laboratory of Advanced Materials for Intelligent Sensing, Department of Chemistry, School of Science, Tianjin University, Tianjin 300072, China;
    2 National Experimental Teaching Demonstration Center for Chemistry and Chemical Engineering (Tianjin University), Department of Chemistry, School of Science, Tianjin University, Tianjin 300354, China;
    3 Beijing NO. 5 Experimental School, Beijing 100070, China;
    4 School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
  • Received:2026-05-20 Accepted:2026-07-07
  • Contact: Jing Li E-mail:lijing@email.tjut.edu.cn

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摘要： 波谱分析是我国化学类研究生教育中普遍设置的基础课程之一，为高层次人才培养起到了重要作用，数智化时代的来临催生了转型发展的新机遇，该课程覆盖多种谱学知识、技术与分析方法，但在思政元素深度融入及信息化手段应用中存在不足。本文聚焦智能时代波谱分析研究生课程建设，探索课程思政与信息化教学的改革路径。首先，介绍了天津大学“波谱分析”研究生课程概况，分析教学改革的必要性；其次，介绍课程教学改革的手段、具体探索实践过程和课程评价。在课程思政层面，我们以光谱发现史、国产波谱技术突破等案例为载体，将谱学探索和发展过程与家国情怀、科学精神相融合，结合国家战略需求培育核心价值观；信息化建设上，构建自适应学习和分层教学系统，整合科研前沿案例，实现“原理-技术-应用”的多维度教学；评价体系改革摒弃传统考试模式，引入谱图解析报告、创新课题提案等过程性评价，结合AI技术生成个性化学习诊断。最后，总结了课程教学改革实施的效果和未来提升计划，实践经验表明，学生课堂参与度与课程认同感显著提升。我们将继续着力完善课程教学评价体系，为同类型高校教学同行提供一定的借鉴参考。

关键词: 研究生教育, 波谱分析, 课程思政, 信息化

Abstract: Spectral analysis is one of the fundamental courses commonly offered in graduate chemistry education in China, playing a vital role in cultivating high-level talents. The advent of the digital intelligence era has created new opportunities for transformation and development. This course encompasses a variety of spectroscopic knowledge, techniques, and analytical methods; however, there are deficiencies in the deep integration of ideological and political elements and the application of information-based approaches. This paper focuses on the construction of graduate courses in spectral analysis in the intelligent era, exploring reform pathways for integrating ideological and political education with information-based teaching. First, an overview of the graduate course “spectral analysis” at Tianjin University is provided, along with an analysis of the necessity for teaching reform. Second, the means of curriculum teaching reform, specific exploration and practice processes, and course evaluation are introduced. In terms of ideological and value-oriented education, historical cases of spectroscopic discoveries and breakthroughs in domestic spectroscopic technologies are incorporated to connect the development of spectroscopy with patriotism and the scientific spirit. For digital and intelligent teaching, we have developed an adaptive learning and hierarchical teaching system, integrated cutting-edge research cases, and achieved multidimensional teaching encompassing “principles, techniques, and applications”. The reform of the evaluation system abandons traditional examination models, introducing process-oriented assessments such as spectral interpretation reports and innovative project proposals, combined with AI technology to generate personalized learning diagnostics. Finally, the effectiveness of the curriculum teaching reform and future improvement plans are summarized. Practical experience indicates that students’ classroom participation and course identification have significantly improved. We will continue to focus on refining the curriculum and teaching evaluation system, providing useful insights for educators undertaking similar curriculum reforms.

Key words: Graduate Education, Spectral analysis, Course ideology and politics, Informatization