Author(s)

Wang Xiaojing ¹

Affiliation(s)

¹ Lanzhou Technology and Business College, Gansu, Lanzhou, 730030, China

Corresponding Author

Wang Xiaojing

ABSTRACT

The deep integration of artificial intelligence technology with ideological and political theory courses in universities has created new technological conditions for addressing such problems in traditional classrooms as imprecise identification of students' learning conditions, insufficient matching of teaching resources, limited depth of student participation, and delayed evaluation and feedback. Based on the fundamental task of fostering virtue through education in university ideological and political theory courses, this study focuses on five key elements: teaching objectives, intelligent resources, classroom activities, learning data, and evaluation feedback. It constructs a smart teaching model consisting of six interconnected stages: "precise diagnosis—intelligent learning guidance—contextual inquiry—collaborative analysis—data-based evaluation—feedback and improvement." The responsibilities and functional boundaries of teachers, students, and intelligent platforms are further clarified across the pre-class, in-class, and post-class stages. Practical application shows that artificial intelligence can improve the precision of resource allocation, the quality of classroom interaction, and the continuity of learning evaluation in ideological and political theory courses. However, its effective application still requires adherence to the principles of teacher leadership, value guidance, data security, and appropriate use of technology, so as to establish a smart teaching mechanism that coordinates technological empowerment with the principles of education.

KEYWORDS

Artificial intelligence; Ideological and political theory courses in universities; Smart teaching; Teaching model; Learning evaluation

CITE THIS PAPER

Wang Xiaojing. Research on the Construction and Application Effectiveness of an AI-Empowered Smart Teaching Model for Ideological and Political Theory Courses in Universities. Advances in Educational Technology and Psychology (2026). Vol. 10, No. 4, 24-31. DOI: http://dx.doi.org/10.23977/aetp.2026.100404.

REFERENCES

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[2] Su N . Research on the Innovation Mechanism of Ideological and Political Course Teaching in Universities Empowered by Artificial Intelligence [J]. Journal of Education and Educational Research, 2026, 18 (2): 9-14. DOI:10.54097/W8VY8R51.
[3] Zhang W . The Value Implication and Internal Mechanism of AI Empowerment for Precision Teaching in Ideological and Political Courses in Colleges and Universities [J]. Contemporary Education Frontiers, 2025, 3 (4): 236-241. DOI:10.18063/CEF.V3I4.1049.
[4] Guofeng K . Research on Artificial Intelligence Empowering Innovation in Ideological and Political Teaching in Colleges and Universities [J]. Education Reform and Development, 2024, 6 (11): 74-80. DOI:10.26689/ERD.V6I11.8899.

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