Risk and optimization path of precise teaching of ideological and political courses in universities empowered by artificial intelligence

Authors

  • Tingting Dai
  • Jianzhan Wang

DOI:

https://doi.org/10.54691/br694m94

Keywords:

Artificial intelligence; college ideological and political course; precision teaching; risk optimization path.

Abstract

The era of intelligent education has come, and the development of artificial intelligence technology is constantly affecting the field of education, and also brings opportunities for the development of precise teaching of ideological and political courses in colleges and universities, but we should also be vigilant about the potential risks behind the use of technology. Prevent the loss of ideological and political teachers' leading power, the dissolution of the value of ideological and political lessons under the "technology addiction", data abuse and privacy security risks. The causes of risk are the confrontation between artificial intelligence's human-like attributes and the dominant position of educators, the inconsistency between algorithm bias and the correctness of ideological and political lessons, and the inconsistency between risk cognition and external protection, and the optimization path is further proposed: Adhere to the combination of educating people and technology for use, promote the unification of technology governance and technology innovation, strengthen man-machine collaboration, and improve the artificial intelligence literacy of teachers of ideological and political courses in colleges and universities, in order to achieve a better integration of artificial intelligence technology and accurate teaching of ideological and political courses, and play a greater role.

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Published

19-03-2025

Issue

Section

Articles

How to Cite

Dai, T., & Wang, J. (2025). Risk and optimization path of precise teaching of ideological and political courses in universities empowered by artificial intelligence. Frontiers in Humanities and Social Sciences, 5(3), 97-105. https://doi.org/10.54691/br694m94