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Recommender systems for learning Titelvorschau
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Recommender systems for learning

Verfasser/in: Nikos Manouselis; et al
Verlag: New York : Springer, ©2013.
Serien: SpringerBriefs in electrical and computer engineering.
Ausgabe/Format   E-Book : Dokument : EnglischAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:
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  Weiterlesen…
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Gattung/Form: Electronic books
Physisches Format Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
Medientyp: Dokument, Internetquelle
Dokumenttyp: Internet-Ressource, Computer-Datei
Alle Autoren: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
OCLC-Nummer: 809543571
Beschreibung: 1 online resource (76 p.)
Inhalt: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Serientitel: SpringerBriefs in electrical and computer engineering.
Verfasserangabe: Nikos Manouselis ... [et al.].
Weitere Informationen:

Abstract:

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that support and enhance learning practices of individuals and organisations. This brief offers an  Weiterlesen…

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