Experiences in using educational recommender system ELARS to support e-learning

Abstract

Educational recommender systems have the potential to support e-learning by personalizing learning process to the individual characteristics of students. To achieve this, such systems can recommend e-courses, learning materials, learning paths, collaborators and similar. This paper describes experiences in using educational recommender system ELARS for the e-course “Hypermedia Supported Education”. The system provides personalization in the context of e-learning activities (e-tivities) by recommending optional e-tivities, possible collaborators, Web 2.0 tools and by offering advice. Analysis of students' academic achievements and results of conducted questionnaire are presented together with teacher's observations and guidelines for further development of the ELARS system.