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Research on the Path of Artificial Intelligence Empowering University Ideological and Political Courses

Author(s)

Yue Tang, Xiaojie Zhao

Affiliation(s)

Chongqing Medical and Pharmaceutical College, Chongqing, China

Abstract

Aiming at the problems of rigid teaching modes, insufficient personalized teaching and low student engagement in current university ideological and political courses, this paper explores the intelligent innovation direction of college ideological and political education. Based on literature research and theoretical analysis methods, it systematically sorts out the integration mechanism between artificial intelligence and university ideological and political teaching, summarizes the practical bottlenecks of intelligent teaching reform. The research proposes targeted empowerment paths, which can effectively promote the digital and intelligent upgrading of ideological and political courses, and improve the pertinence and effectiveness of university moral education.

Keywords

Artificial Intelligence; University Ideological and Political Courses; Educational Empowerment; Teaching Reform

References

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