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生成式人工智能赋能高校思政课堂评价策略研究

Generative Artificial Intelligence Empowers the Reform of Ideological and Political Classroom Evaluation in Colleges and Universities — A Study Based on Teaching Effectiveness

张威¹², 孔翔超¹

Education Study / 2026,8(6): 735-741 / 2026-07-02 15 9

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• Information:

  1．北京工业大学高等教育研究院，北京；
  2．首都工程教育发展研究基地，北京

• Keywords:
  Generative artificial intelligence; College ideological and political courses; Teaching evaluation; Evaluation reform; Educational digitalization
  生成式人工智能; 高校思政课; 教学评价; 评价改革; 教育数字化
• Abstract: With the advancement of digital education, the teaching evaluation system for ideological and political courses in universities needs to break through the limitations of traditional models, and generative artificial intelligence presents new opportunities in this regard. Adopting a combination of literature research, case analysis and interdisciplinary research methods, this study conducts an in-depth analysis of the prevailing problems in the current teaching evaluation of ideological and political courses, and explores the application value of generative artificial intelligence. The research reveals that the classroom evaluation of university ideological and political courses is currently plagued by several drawbacks, including oversimplified evaluation indicators, subjective evaluation methods, lack of dynamism in the evaluation process, and insufficient utilization of evaluation data. By virtue of its technical strengths, generative artificial intelligence enables diversified and refined evaluation indicators, enhances the fairness and objectivity of evaluation, facilitates real-time dynamic evaluation processes, and unlocks the in-depth value of evaluation data. The study demonstrates that generative artificial intelligence can boost students’ engagement and their recognition index of core values, and help cultivate positive value identification among students. This research provides technical approaches and practical solutions for the reform of teaching evaluation for university ideological and political courses, facilitates the intelligent transformation of such courses, and offers technical support for fulfilling the fundamental task of fostering virtue through education. 随着教育数字化的推进，高校思政课教学评价体系也应突破传统的局限，生成式人工智能为此带来新的机遇。本研究综合运用文献研究、案例分析与跨学科研究法，深入剖析当前思政课教学评价存在的问题，挖掘生成式人工智能的应用价值。研究发现，当前高校思政课堂评价存在指标单一、方式主观、过程缺乏动态性、数据利用不充分等问题，而生成式人工智能可凭借其技术优势，实现评价指标多元精准化、提高评价公正性与客观性、推进评价过程动态实时化、深度挖掘数据价值。研究表明，生成式人工智能可以提升学生的参与度和价值观认同指数，有助于引导学生形成积极的价值认同倾向。本研究可以为高校思政课评价改革提供技术路径与实践方案，有利于推动其智能化转型，为落实立德树人根本任务提供技术支撑。
• DOI: 10.35534/es.0806129 (registering DOI)
• Cite: 张威，孔翔超．生成式人工智能赋能高校思政课堂评价策略研究［J］．教育研讨，2026，8（6）：735-741．