Applying Knowledge Graph to Interdisciplinary Higher Education
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| Title: | Applying Knowledge Graph to Interdisciplinary Higher Education |
|---|---|
| Language: | English |
| Authors: | Qian Wang (ORCID |
| Source: | European Journal of Education. 2025 60(2). |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 6 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Undergraduate Students, Higher Education, Interdisciplinary Approach, Engineering Education, Technology Uses in Education, Artificial Intelligence, Graphs, Concept Mapping, Management Development |
| DOI: | 10.1111/ejed.70078 |
| ISSN: | 0141-8211 1465-3435 |
| 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. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1472632 |
| Database: | ERIC |
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| 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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| ISSN: | 0141-8211 1465-3435 |
| DOI: | 10.1111/ejed.70078 |
