On conceptualisation and an overview of learning path recommender systems in e-learning

June 07, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors A. Fuster-LΓ³pez, J. M. Cruz, P. Guerrero-GarcΓ­a, E. M. T. Hendrix, A. KoΕ‘ir, I. Nowak, L. Oneto, S. Sirmakessis, M. F. Pacheco, F. P. Fernandes, A. I. Pereira arXiv ID 2406.10245 Category cs.IR: Information Retrieval Cross-listed cs.AI, cs.LG Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ways to create a recommender system. They all aim at facilitating the learning and understanding of a student. We present a common concept of the learning path and its learning indicators and embed 5 different recommenders in this context.
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