2026-05-29T22:31:35Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/272142026-02-03T10:57:15Zcom_10630_2254col_10630_37953

On an OptLearn implementation using collaborative filtering. Fuster López, Alejandro Guerrero-García, Pablo Hendrix, Eligius María Theodorus Martínez-Cruz, Jesús Nowak, Ivo Matemáticas - Estudio y enseñanza - Innovaciones tecnológicas Enseñanza asistida por ordenador The aim of the iMath project is to develop a recommender system where a student is recommended a next question or literature in a learning platform MathE. This paper describes the systems developed based on collaborative filtering python application Surprise by the partners of the project based in Universidad de Málaga and Hamburg. Moreover, it describes further development towards hybridization of recommenders and the inclusion of concept maps. 2023-07-07T11:43:52Z 2023-07-07T11:43:52Z 2023-07-07T11:43:52Z 2023 journal article https://hdl.handle.net/10630/27214 eng http://creativecommons.org/licenses/by-nd/4.0/ open access Attribution-NoDerivatives 4.0 Internacional