Journal of Dali University ›› 2026, Vol. 11 ›› Issue (7): 71-77.DOI: 10. 3969 / j. issn. 2096-2266. 2026. 07. 010
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Abstract: The in-depth integration of generative artificial intelligence and Ideological and Political Courses in colleges and universities is an inevitable trend of educational modernization. While it empowers the discourse construction of Ideological and Political Courses, it also conceals risks such as the weakening of discourse dominance, the anomie of discourse content, the weakening of discourse value guidance, and the absence of discourse subjects. Therefore, it is necessary to adhere to the fundamental principle that value rationality guides instrumental rationality. Corresponding countermeasures should be taken: constructing a digital-intelligent discourse database for Ideological and Political Courses to consolidate the dominant position of Ideological and Political Courses discourse; focusing on the value core of Ideological and Political Courses discourse to promote the innovation of ideological and political discourse content; advancing algorithmic benevolence and dialogue reconstruction to optimize the communication ecology of Ideological and Political Courses discourse; and strengthening the role upgrading and literacy improvement of Ideological and Political Courses discourse subjects to consolidate the value consensus of discourse subjects. Through these measures, the discourse construction of Ideological and Political Courses in colleges and universities can be enhanced, and the fundamental task of fostering virtue through education can be fulfilled.
Key words: generative artificial intelligence, discourse of Ideological and Political Course, risk analysis, optimization strategies
CLC Number:
G416
He Yanxia, Wu Yongyan. Discourse Construction of College Ideological and Political Courses: Risk Analysis and Optimization#br# Strategies in the Context of Generative AI[J]. Journal of Dali University, 2026, 11(7): 71-77.
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URL: http://journal15.magtechjournal.com/Jwk_dlxyzk/EN/10. 3969 / j. issn. 2096-2266. 2026. 07. 010
http://journal15.magtechjournal.com/Jwk_dlxyzk/EN/Y2026/V11/I7/71