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生成式人工智能融入高职思政课教学的逻辑、风险与进路

周晓花 刘佳敏 张泽玲

职业技术教育2026,Vol.47Issue(23):3-8,6.
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职业技术教育2026,Vol.47Issue(23):3-8,6.

生成式人工智能融入高职思政课教学的逻辑、风险与进路

Logic,Risk and Approaches of Integrating Generative Artificial Intelligence into Ideological and Political Course Teaching in Higher Vocational Colleges

周晓花 1刘佳敏 1张泽玲2

作者信息

  • 1. 天津铁道职业技术学院(天津,300143)
  • 2. 天津滨海汽车工程职业学院
  • 折叠

摘要

Abstract

The rapid development of generative artificial intelligence provides new technical conditions for the reorganization of teaching resources,scenario creation,interactive feedback and personalized support of ideological and political courses in higher vocational colleges.Its integration into the teaching of such courses not only stems from the external drive of intelligent technology evolution and digital ideological and political transformation,but also responds to the inherent requirements of adhering to the fundamental principles while making innovations and promoting connotative development of ideological and political courses.However,while improving teaching efficiency,generative artificial intelligence may also weaken teachers'value guidance and leading position in teaching,cause contents distortion,value deviation,learning dependence and blurred application boundaries,and increase the difficulty of testing students'real learning effects and value identity.To address these issues,we should adhere to the unity of teacher leadership,student-centered status and technical assistance,improve teachers'digital literacy and intelligent teaching competence,establish a governance mechanism covering data sources,content generation,teaching application and result dissemination,clarify the boundaries of data,contents,behavior and ethics,and optimize the evaluation system integrating process evaluation,value-added evaluation and multi-subject comprehensive evaluation.

关键词

生成式人工智能/高职院校/思想政治理论课/数字思政/教学评价

Key words

generative artificial intelligence/higher vocational colleges/ideological and political courses/digital ideological and political education/teaching evaluation

分类

社会科学

引用本文复制引用

周晓花,刘佳敏,张泽玲..生成式人工智能融入高职思政课教学的逻辑、风险与进路[J].职业技术教育,2026,47(23):3-8,6.

基金项目

2020年度教育部高校思想政治理论课教师研究专项重大课题攻关项目"高职高专思政课教师队伍质量提升战略研究"(20JDSZKZ08),主持人:张泽玲 (20JDSZKZ08)

2024年度天津市社会主义学院招标课题"生成式人工智能与高职院校思政课教学融合创新研究——以《习近平新时代中国特色社会主义思想概论》课程为例"(TJSY202430),主持人:周晓花 (TJSY202430)

2024年度天津市中高职一体化研究专项课题"数智时代背景下职业院校思政课教师数字胜任力提升研究"(JJSZKY202410010),主持人:周晓花 (JJSZKY202410010)

职业技术教育

1008-3219

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