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Title: Panorama of Recommender Systems to Support Learning
Authors: Drachsler, Hendrik
Verbert, Katrien
Santos, Olga C.
Manouselis, Nikos
Keywords: recommender systems
Technology enhanced learning
Classification framework
Educational datasets
Learning Analytics
Educational data mining
Trend analysis
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.
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.
ISSN: 978-1-4899-7636-9
Appears in Collections:1. TELI Publications, books and conference papers

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