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Recommender Systems for Learning

Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval (Autoren)

Buch | Softcover

76 Seiten

2012 | 2013 ed.
Springer-Verlag New York Inc.
978-1-4614-4360-5 (ISBN)

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Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

Introduction and Background.- TEL as a recommendation context.- Survey and Analysis of TEL Recommender Systems.- Challenges and Outlook.

Reihe/Serie	SpringerBriefs in Electrical and Computer Engineering
Zusatzinfo	4 Illustrations, black and white; XI, 76 p. 4 illus.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen
	Mathematik / Informatik ► Informatik ► Netzwerke
	Sozialwissenschaften ► Pädagogik
Schlagworte	personalization • recommendation algorithms • Recommender Systems • technology enhanced learning (TEL) • TEL datasets
ISBN-10	1-4614-4360-1 / 1461443601
ISBN-13	978-1-4614-4360-5 / 9781461443605
Zustand	Neuware