An Ontology for Representing Curriculum and Learning Material
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912417240317952 |
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| author | Christou, Antrea Jaldi, Chris Davis Zalewski, Joseph McGinty, Hande Küçük Hitzler, Pascal Shimizu, Cogan |
| author_facet | Christou, Antrea Jaldi, Chris Davis Zalewski, Joseph McGinty, Hande Küçük Hitzler, Pascal Shimizu, Cogan |
| contents | Educational, learning, and training materials have become extremely commonplace across the Internet. Yet, they frequently remain disconnected from each other, fall into platform silos, and so on. One way to overcome this is to provide a mechanism to integrate the material and provide cross-links across topics.
In this paper, we present the Curriculum KG Ontology, which we use as a framework for the dense interlinking of educational materials, by first starting with organizational and broad pedagogical principles. We provide a materialized graph for the Prototype Open Knowledge Network use-case, and validate it using competency questions sourced from domain experts and educators. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_05751 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An Ontology for Representing Curriculum and Learning Material Christou, Antrea Jaldi, Chris Davis Zalewski, Joseph McGinty, Hande Küçük Hitzler, Pascal Shimizu, Cogan Computers and Society Artificial Intelligence Educational, learning, and training materials have become extremely commonplace across the Internet. Yet, they frequently remain disconnected from each other, fall into platform silos, and so on. One way to overcome this is to provide a mechanism to integrate the material and provide cross-links across topics. In this paper, we present the Curriculum KG Ontology, which we use as a framework for the dense interlinking of educational materials, by first starting with organizational and broad pedagogical principles. We provide a materialized graph for the Prototype Open Knowledge Network use-case, and validate it using competency questions sourced from domain experts and educators. |
| title | An Ontology for Representing Curriculum and Learning Material |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2506.05751 |