A Course Recommendation System for Moocs Based On Online Learning
Hanae Aoulad Ali, Chrayah Mohamed, Abdelhamid Bouzidi, Taha El Alami · 2021
Systems that make recommendations One of the most intriguing systems, which allows students to browse or search a big number of possibilities for specific goods related to their interests. Using varied methodologies such as the content-based approach and the collaborative approach, these systems have assisted learners in e-learning in filtering options and selecting information. However, learners have not been totally happy with the offer as a result of these tactics. In this paper, to compensate for the shortcomings of previous approaches, propose a novel clustering-based strategy. The main purpose of this proposed technique is to generate homogeneous groups of learners in order to cover and absorb all of the essential information.