Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning

Autor/inn/en	Niemann, Katja; Wolpers, Martin
Titel	Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning
Quelle	In: IEEE Transactions on Learning Technologies, 8 (2015) 3, S.274-285 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1939-1382
DOI	10.1109/TLT.2014.2379261
Schlagwörter	Educational Technology; Technology Uses in Education; Resource Units; Data Collection; Data Analysis; Architecture; Shared Resources and Services; Foreign Countries; Semantics; Metadata; Europe + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Data capture; Datensammlung; Auswertung; Architektur; Gemeinwirtschaft; Ausland; Semantik; Metadaten; Europa
Abstract	In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new similarity measure to enhance existing recommendation approaches for the use in technology enhanced learning. (As Provided).
Anmerkungen	Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01