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.
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