The Advantages and Constraints of LLM-Augmented Knowledge Graphs in University Innovation and Entrepreneurship Education
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.
Fields of Study & Subjects
Advanced Graph Neural Networks
E-Learning and Knowledge Management
Research Data Management Practices
Publication details
- Journal / source
- Advances in Applied Sociology
- Publisher
- Scientific Research Publishing, Inc.
- Volume
- 16
- Issue
- 01
- Pages
- 38–47
- Publication date
- 1 January 2026