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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/6276
Title: Panorama of Recommender Systems to Support Learning
Authors: Drachsler, Hendrik
Verbert, Katrien
Santos, Olga C.
Manouselis, Nikos
Keywords: recommender systems
learning
Technology enhanced learning
Classification framework
State-of-the-art
review
Educational datasets
Learning Analytics
Educational data mining
Trend analysis
Personalisation
Future challenges
Issue Date: 14-Dec-2015
Citation: Drachsler, H., Verbert, K., Santos, O. C., & Manouselis, N. (2015). Panorama of Recommender Systems to Support Learning. In F. Rici, L. Rokach, & B. Shapira (Eds.), 2nd Handbook on Recommender Systems (pp. 421- 451). Springer, US. http://dx.doi.org/10.1007/978-1-4899-7637-6_12
Abstract: This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender systems from 35 different countries have been investigated and categorised according to a given classification framework. The reviewed systems have been classified into 7 clusters according to their characteristics and analysed for their contribution to the evolution of the RecSysTEL research field. Current challenges have been identified to lead the work of the forthcoming years.
URI: http://hdl.handle.net/1820/6276
ISSN: 978-1-4899-7636-9
Appears in Collections:1. TELI Publications, books and conference papers

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