Applying Knowledge Graph to Interdisciplinary Higher Education

ABSTRACT 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. This study begins by explaining the necessity of constructing interdisciplinary knowledge graphs. It then uses engineering management as a case study to outline a strategic framework for developing a knowledge graph. Finally, it analyses the benefits and challenges of applying knowledge graphs in interdisciplinary higher education.

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Publication Details

Journal
European Journal of Education
Published
2025-03-17
DOI
https://doi.org/10.1111/ejed.70078
Citations
5
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
12.40
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article

Applying Knowledge Graph to Interdisciplinary Higher Education

Xin Feng, Hao Feng, Qian Wang, Shiwang Hou et al.
5 citations
European Journal of Education
Semantic Web and Ontologies
12.40
article

Applying Knowledge Graph to Interdisciplinary Higher Education

Xin Feng, Hao Feng, Qian Wang, Shiwang Hou, Sixian Wan
article en
5 citations

Abstract

ABSTRACT 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. This study begins by explaining the necessity of constructing interdisciplinary knowledge graphs. It then uses engineering management as a case study to outline a strategic framework for developing a knowledge graph. Finally, it analyses the benefits and challenges of applying knowledge graphs in interdisciplinary higher education.

European Journal of EducationVol. 60(2)
Central South University of Forestry and Technology (CN), Central South University (CN), Hunan University of Technology (CN)
Openalex Percentile: Top 2%
Semantic Web and Ontologies
12.40
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Applying Knowledge Graph to Interdisciplinary Higher Education — Xin Feng, Hao Feng, et al. · European Journal of Education (2025) | TGRS Research Map | TGRS