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Recommender Systems: Introduction and Challenges Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

12. Panorama of Recommender Systems to Support Learning

verfasst von : Hendrik Drachsler, Katrien Verbert, Olga C. Santos, Nikos Manouselis

Erschienen in: Recommender Systems Handbook

Verlag: Springer US

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Abstract

This chapter presents an analysis of recommender systems in Technology-Enhanced 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 seven 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.

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Vorheriges Kapitel Recommender Systems in Industry: A Netflix Case Study
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Metadaten
Titel
Panorama of Recommender Systems to Support Learning
verfasst von
Hendrik Drachsler
Katrien Verbert
Olga C. Santos
Nikos Manouselis
Copyright-Jahr
2015
Verlag
Springer US
Buch
Recommender Systems Handbook

Print ISBN: 978-1-4899-7636-9

Electronic ISBN: 978-1-4899-7637-6

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-1-4899-7637-6_12

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