Hybrid Recommender Strategy in Learning:an Experimental Investigation
Hybrid Recommender Strategy in Learning:an Experimental Investigation

Summary/Abstract: Purpose: finding ways of improving learning in a formal higher education context. Design/methodology/approach: in the proposed model we will consider extending traditional content management systems, giving learners the possibility to add new materials and to rate them, and a hybrid strategy that combines technical recommendations with some profile-based filtering to offer adaptive and suitable sequencing learning content to learners. Findings: the experiment shows that our recommendation techniques are able to reflect the learners’ interests. Research limitations/implications: it’s necessary to demonstrate the contributions of these kinds of solutions to the learners’ success. Practical implications: theoretical and practical framework for future research in the field was developed.

• Details
• Contents