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Applying Knowledge Graph to Interdisciplinary Higher Education

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成果类型:
期刊论文
作者:
Qian Wang*;Shiwang Hou;Sixian Wan;Xin Feng;Hao Feng
通讯作者:
Qian Wang
作者机构:
[Qian Wang; Shiwang Hou; Sixian Wan] School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha, People's Republic of China
[Xin Feng] School of Civil Engineering, Central South University of Forestry and Technology, Changsha, People's Republic of China
[Hao Feng] Engineering Department, Country Garden Group, Foshan, People's Republic of China
通讯机构:
[Qian Wang] S
School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha, People's Republic of China
语种:
英文
关键词:
higher education;implementation strategy;interdisciplinary learning;knowledge graph
期刊:
European Journal of Education
ISSN:
0141-8211
年:
2025
卷:
60
期:
2
页码:
e70078
基金类别:
This work is supported by the Undergraduate teaching reform research project of Hunan Province (HNJG-20230805), the Undergraduate teaching reform research project of Hunan University of Technology and Business, the Research on training path of innovative talents in engineering management specialty in the Artificial Intelligence Era (University education notification [2023]24), and the Undergraduate teaching reform research project of Hunan Province (HNJG-20230456).
机构署名:
本校为其他机构
院系归属:
土木工程学院
摘要:
To prepare undergraduates for complex careers, interdisciplinary higher education is gaining popularity. However, implementing interdisciplinary learning in engineering management is challenging due to the complex and intertwined knowledge structures. While smart education platforms provide access to extensive knowledge bases, the intricate web of relationships can overwhelm undergraduates. Therefore, innovative technologies are needed to create a coherent knowledge system. Knowledge graphs, derived from artificial intelligence, are pivotal tools for connecting knowledge points across courses....

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