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|Title: ||HYBRID RECOMMENDER STRATEGY IN LEARNING: AN EXPERIMENTAL INVESTIGATION|
|Authors: ||Madeira, Filipe|
|Editors: ||Skaržauskienė, Aelita|
|Keywords: ||personalized recommender systems|
collaborative formal learning
technology enhanced learning
|Issue Date: ||2013|
|Publisher: ||Mykolas Romeris University|
|Abstract: ||Purpose – Find ways to improve 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 contents to learners.
Findings – The experiment shows that our recommendation techniques are able to reflect 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.|
|Appears in Collections:||GES - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica|
CEFAGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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