Abstract | ||
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Competence-based learning is increasingly widespread in many institutions since it provides flexibility, facilitates the self-learning and brings the academic and professional worlds closer together. Thus, the competence-based recommender systems emerged taking the advantages of competences to offer suggestions (performance of a learning experience, assistance of an expert or recommendation of a learning resource) to the user (learner or instructor). The objective of this work is to conduct a new Systematic Literature Review (SLR) concerning competence-based recommender systems to analyse in relation to their nature and assessment of competences an others key factors that provide more flexible and exhaustive recommendations. To do so, a SLR research methodology was followed in which 25 competence-based recommender systems related to learning or instruction environments were classified according to multiple criteria. We evaluate the role of competences in these proposals and enumerate the emerging challenges. Also a critical analysis of current proposals is carried out to determine their strengths and weakness. Finally, future research paths to be explored are grouped around two main axes closely interlinked; first about the typical challenges related to recommender systems and second, concerning ambitious emerging challenges. |
Year | DOI | Venue |
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2018 | 10.1080/0144929X.2018.1496276 | BEHAVIOUR & INFORMATION TECHNOLOGY |
Keywords | Field | DocType |
Recommender system, systematic literature review, competence-based learning, adaptive learning, emerging challenges | Recommender system,Competence (human resources),Multiple criteria,Systematic review,Computer science,Knowledge management,Learning experience,Learning resource,Research methodology,Adaptive learning | Journal |
Volume | Issue | ISSN |
37 | 10-11 | 0144-929X |
Citations | PageRank | References |
0 | 0.34 | 28 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Héctor Yago Corral | 1 | 2 | 1.12 |
Julia Clemente | 2 | 37 | 3.71 |
Daniel Rodríguez | 3 | 294 | 27.65 |