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人工智能背景下课程思政深度学习效果研究

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该文以建构主义理论和深度学习理论为基础构建交互性学习对课程思政深度学习效果的影响模型,探讨其中介作用机制.运用问卷调查法收集数据,验证模型,得出研究结论如下,具身交互、教学性交互和社会性交互正向影响高级思维,具身交互和社会性交互正向影响情感体验,行为参与、认知参与、情感参与起中介作用.
Based on the theory of constructivism and deep learning, this paper built an influence model of interactive learning on the effect of deep learning of ideological and political education in courses, and explored its intermediary mechanism.Using questionnaire as the research method to collect data and verify the model, the research conclusions are drawn as follows, embodied interaction, teaching interaction and social interaction positively affect advanced thinking, embodied interaction and social interaction positively affect emotional experience, behavioral participation, cognitive participation and emotional participation play a mediating role.

educational AIideological and political education in coursesdeep learningconstructivisminteractive learning

胡春、王颂、李帆、王云舒

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北京邮电大学 经济管理学院,北京 100876

教育人工智能 课程思政 深度学习 建构主义 交互学习

2022年北京市教育委员会高等教育本科教学改革创新项目2021年北京邮电大学教学改革项目

京教函[2022]133号2021KCSZ12

2024

高教学刊
黑龙江省创联文化传媒有限公司,黑龙江省高等教育教学评估中心

高教学刊

ISSN:2096-000x
年,卷(期):2024.10(22)