hybrid recommender strategy in learning: an experimental investigation

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ID: 172027
2013
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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.
Originality/Value—the main contributions are the extended Learning Management
System and the hybrid Recommender System, which implements a new proposal to evaluate learners’ similarities.
Research type: research paper.
Reference Key
madeira2013socialhybrid Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Filipe Montez Coelho Madeira, Salvador Abreu, Rui Filipe Cerqueira Quaresma
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Journal the journal of clinical endocrinology and metabolism
Year 2013
DOI
10.13165/ST-13-3-1-01
URL
https://www3.mruni.eu/ojs/social-technologies/article/view/477
Keywords
sequencing collaborative filtering technology enhanced learninginformation technology

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