Szczegóły publikacji
Opis bibliograficzny
Automatic curriculum cohesion analysis based on knowledge graphs / Paulina Gacek, Weronika T. ADRIAN // W: Hybrid models for coupling deductive and inductive reasoning : third international workshop, HYDRA 2024 : Santiago de Compostela, Spain, October 20, 2024 : revised selected papers / eds. Pierangela Bruno [et al.]. — Cham : Springer Nature Switzerland, cop. 2025. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; CCIS 2492). — ISBN: 978-3-031-89365-0; e-ISBN: 978-3-031-89366-7. — S. 82–92. — Bibliogr., Abstr. — Publikacja dostępna online od: 2025-05-07
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 161207 |
|---|---|
| Data dodania do BaDAP | 2025-07-25 |
| DOI | 10.1007/978-3-031-89366-7_6 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
Creating a well-structured and cohesive curriculum is essential for providing students with a meaningful and organized educational experience. However, the complexity and scale of curricula and the need for regular updates make developing a curriculum for a single major a highly challenging task. In this paper, we aim to construct a comprehensive tool designed to automatically analyze existing curricula and identify areas of incoherence. The presented approach utilizes unsupervised learning techniques and large language models (LLMs) to extract the main concepts covered by courses and their prerequisites directly from course syllabi. The extracted entities are then linked to Wikidata entities, ensuring both their correctness and uniqueness. By constructing a knowledge graph based on the relationships between courses and main educational concepts, the cohesion of the curriculum can be systematically verified. The verification process involves checking if all cohesion logic predicates are satisfied, thereby ensuring that the curriculum is both comprehensive and logically structured. The results demonstrate the efficacy of our approach in identifying inconsistencies within educational curricula, thereby aiding in the development of more cohesive and well-organized educational programs.
