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Article
Affiliation(s)

Shanghai University of International Business and Economics, Shanghai, China

ABSTRACT

Currently, the rapid advancement of artificial intelligence technology across various sectors of society has led to profound transformations in many industries, including education. Against the backdrop of digital and intelligent transformation in ideological and political education at universities, artificial intelligence technology is increasingly integrating with these courses, as they embrace AI—particularly generative AI. However, the swift adoption of generative AI in ideological and political education has introduced both benefits and challenges, such as value orientation, data security, and ethical dilemmas. The root causes lie in diminished ideological guidance due to technological reliance, delayed adaptation by teachers and students stemming from entrenched traditional teaching patterns, and the blurred boundaries of what AI should and should not achieve in its operational processes. To ensure the ideological, theoretical, and engaging nature of generative AI in university ideological and political education, a paradigm revolution—reshaping these courses through generative AI—is urgently needed.

KEYWORDS

generative artificial intelligence, ideological and political education in higher education, paradigm revolution

Cite this paper

WANG Na. (2026). Reflections on Ideological and Political Education in Universities Under the Context of Generative Artificial Intelligence. US-China Education Review A, May 2026, Vol. 16, No. 5, 283-288.

References

Lu, Y., Yu, J. L., Chen, P. H., & Li, M. Y. (2023). Educational application and prospect of generative artificial intelligence: A case study of the ChatGPT system. China Distance Education, 2023(4), 27.

Wang, L. R, & Jiang, B. (2025). Rational review and optimization path of value education empowered by digital intelligence technology. School Party Building and Ideological Education, 2025(08), 77-79.

Wen, X. (2025). New quality and new circumstances: An analysis of the intrinsic development of ideological and political theory courses empowered by generative artificial intelligence. Research in Ideological Education, 2025(2), 94-101.

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