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Fostering Interdisciplinary Talent Development through Knowledge Graphs: A Simulation-Based Teaching Framework and Its Initial Implementation

Yingkai Wang

Abstract


By integrating quantitative analysis (NetLogo simulation) and case study methods, this study systematically explore the specific application pathways of knowledge graphs in curriculum design, teaching implementation, and resource management. The simulation and initial
implementation results indicate that the application of knowledge graphs can effectively help students establish a systematic knowledge system, enhance their comprehensive analysis abilities, practical skills, and innovative thinking, while also assisting teachers in optimizing teaching strategies and improving teaching quality.

Keywords


Knowledge Graph; Talent Development; Teaching Framework

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References


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[4] Zhao, L., & Wang, Q. (2023). Application of knowledge graph in university professional courses. Higher Education Research, 11, 1-10.

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DOI: http://dx.doi.org/10.70711/neet.v4i6.9516

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