Research on the Innovative Path of High Quality Development of Ideological Theory Course Teaching in Colleges and Universities from the Perspective of Artificial Intelligence

Yuzhuo Chen

doi:10.53469/jerp.2024.06(07).14

Research on the Innovative Path of High Quality Development of Ideological Theory Course Teaching in Colleges and Universities from the Perspective of Artificial Intelligence

Authors

Yuzhuo Chen Liaoning University of International Business and Economics School of Marxism, Dalian, Liaoning 116052, China

DOI:

https://doi.org/10.53469/jerp.2024.06(07).14

Keywords:

Artificial intelligence, College Ideological Theory Course, High quality development, Innovate

Abstract

Faced with the rapid development of artificial intelligence, various new technologies have had a huge impact on the development of higher education. In this technological revolution, Ideological theory courses in universities should also take advantage of the situation, fully utilize the effectiveness of artificial intelligence, and achieve high-quality innovative development of Ideological theory teaching in universities.

References

Shi Qiang, Shun Di. Several key points for empowering high-quality development of Ideological courses in universities with artificial intelligence[N]. China Social Science Network, 2024.6.17.

Tian Huisheng. The times call for educational wisdom and intelligent teachers[J]. Educational Research, 2005(2): 50-57.

Zhang Li. The Practical Path of Technology Empowering Ideological Courses in Colleges and Universities: A Review of "Research on the Teaching of Ideological Theory Courses in Colleges and Universities under the Background of Informatization", Development and Evaluation of Higher Education Institutions[J]. Educational Research, 2024.04.

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Published

2024-07-28

How to Cite

Chen, Y. (2024). Research on the Innovative Path of High Quality Development of Ideological Theory Course Teaching in Colleges and Universities from the Perspective of Artificial Intelligence. Journal of Educational Research and Policies, 6(7), 70–72. https://doi.org/10.53469/jerp.2024.06(07).14