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Wang, Z., & Shen, L. (2025). Research on the Collaborative Education Practice Path of University Ideological and Political Courses and Curriculum Ideology and Politics Based on Knowledge Graphs. Journal of Social Science of Jiamusi University, 43, 172.

has been cited by the following article:

• TITLE: The Advantages and Constraints of LLM-Augmented Knowledge Graphs in University Innovation and Entrepreneurship Education

  AUTHORS: Bingqi Liu, Zhi Weng, Ayinhu

  KEYWORDS: Large-Scale Models, Knowledge Graph, Innovation and Entrepreneurship Education, Constraints

  JOURNAL NAME: Advances in Applied Sociology, Vol.16 No.1, January 13, 2026

  ABSTRACT: This paper investigates the integration of Large Language Models with Knowledge Graphs (LLM-KGs) into the pedagogical framework of higher education, specifically within innovation and entrepreneurship programs. It argues that this synergy can catalyze a shift toward more intelligent and data-informed educational practices. However, the implementation is scrutinized through a critical lens, revealing significant constraints in data governance, a growing digital divide among faculty, and systemic institutional inertia. In response, the study proposes a set of strategic interventions designed to provide both a conceptual foundation and actionable guidance for the effective adoption of LLM-KG systems in university settings.