2026-06-08T15:58:44Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/315662026-02-03T11:09:01Zcom_10630_2254col_10630_37953

On conceptualisation and an overview of learning path recommender systems in e-learning. Fuster López, Alejandro Martínez-Cruz, Jesús Guerrero-García, Pablo Hendrix, Eligius María Theodorus Košir, Andrej Nowak, Ivo Oneto, Luca Sirmakessis, Spiros Pacheco, Maria Fátima Fernandes, Florbela Pires Pereira, Ana Isabel Sistemas expertos Enseñanza asistida por ordenador E-learning Recommender systems Learning path personalization 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. Consortium 2021-1-PT01-KA220-HED-000023288 2024-06-11T09:24:19Z 2024-06-11T09:24:19Z 2024-06-10 journal article SMUR https://hdl.handle.net/10630/31566 eng Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ open access application/pdf