ConceptGCN: Knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT

ConceptGCN: Knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT

Massive Open Online Courses (MOOCs) have gained popularity in the technology-enhanced learning (TEL) domain. To enhance the learning experience in MOOCs, educational recommender systems (ERSs) can play a crucial role by suggesting courses or learning materials that align with students' knowledg...

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Bibliographic Details
Main Authors: Rawaa Alatrash, Mohamed Amine Chatti, Qurat Ul Ain, Yipeng Fang, Shoeb Joarder, Clara Siepmann
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Computers and Education: Artificial Intelligence
Subjects:
Educational recommender systems
Concept recommendation
MOOCs
Knowledge graphs
Graph neural networks
Graph convolutional networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2666920X23000723

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http://www.sciencedirect.com/science/article/pii/S2666920X23000723

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