On conceptualisation and an overview of learning path recommender systems in e-learning
June 07, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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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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