Author(s)

AiGuo Wang^*, LiFang Liu

Affiliation(s)

School of Geography and Tourism, Luoyang Normal University, Luoyang 471934, Henan, China.

Corresponding Author

AiGuo Wang

ABSTRACT

The rapid development of the large language model (LLM) has provided a new path for political education in higher education. This paper focuses on the synergy between the "Cadastral Management" course and political education in land resource management. It explores how to utilize the technical advantages of LLM to reconstruct the teaching process, innovate teaching methods, and optimize the assessment system. By constructing an application framework of the "Value embedding - Situational interaction - Dynamic feedback" LLM and verifying it with cases from the "Cadastral Management" course, it has been demonstrated that the LLM significantly enhances the effectiveness of political education. This study also provides theoretical support and practical paradigms for artificial intelligence empowering ideological and political education in specialized courses.

KEYWORDS

Large Language Model; Cadastral Management; Ideological and political education in courses; Education reform; Innovation research

CITE THIS PAPER

AiGuo Wang, LiFang Liu. Innovative research on political education reform in the "Cadastral Management" course based on the Large Language Model. World Journal of Educational Studies. 2025, 3(5): 16-22. DOI: https://doi.org/10.61784/wjes3073.

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