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The Integration of Generative Artificial Intelligence into the Teaching Reform and Practical Exploration of Ideological and Political Education Courses in Higher Education Institutions

Shunan Guo

Abstract


Generative Artificial Intelligence(GAI), underpinned by cutting-edge technology, provides support for innovation in the teaching of
ideological and political courses in higher education. Its deep integration drives a threefold transformation of these courses, addressing issues
such as the lack of relevance and poor learning experience associated with traditional teaching methods. This paper analyses the logic behind
this transformation, elucidates the shift in teaching approaches, explores practical pathways, and proposes risk prevention and control strate
gies to promote the deep integration of the two and enhance course quality.

Keywords


Generative Artificial Intelligence; University Ideological and Political Education Courses; Teaching Reform; Practical Pathways

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References


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DOI: http://dx.doi.org/10.70711/wef.v3i11.9326

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