Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions

Heleau Sandy; Hendrik Drachsler; Dennis Gillet

Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions

Heleau Sandy, Hendrik Drachsler, Dennis Gillet

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Abstract

This paper discusses challenges and possible solutions of recommender systems for Technology-Enhanced Learning (TEL). It also briefly presents the the 3A contextual recommender system and explores its applicability and evaluation in the context of learners using multiple Web 2.0 applications.

Original language	English
Number of pages	3
Publication status	Published - 8 Dec 2009
Event	STELLAR Alpine Rendez-Vous 2009: Education in the wild: contextual and location-based mobile learning in action - Garmisch-Patenkirchen, Germany Duration: 30 Nov 2009 → 3 Dec 2009

Workshop

Workshop	STELLAR Alpine Rendez-Vous 2009
Country/Territory	Germany
City	Garmisch-Patenkirchen
Period	30/11/09 → 3/12/09
Other	STELLAR Alpine Rendez-Vous workshop series

Keywords

recommender system
remashed
trust
algorithm

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Helou Drachsler GilletAccepted author manuscript, 94.8 KBLicence: CC BY-NC-ND

Cite this

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title = "Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions",

abstract = "This paper discusses challenges and possible solutions of recommender systems for Technology-Enhanced Learning (TEL). It also briefly presents the the 3A contextual recommender system and explores its applicability and evaluation in the context of learners using multiple Web 2.0 applications.",

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author = "Heleau Sandy and Hendrik Drachsler and Dennis Gillet",

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T2 - STELLAR Alpine Rendez-Vous 2009

AU - Sandy, Heleau

AU - Drachsler, Hendrik

AU - Gillet, Dennis

PY - 2009/12/8

Y1 - 2009/12/8

N2 - This paper discusses challenges and possible solutions of recommender systems for Technology-Enhanced Learning (TEL). It also briefly presents the the 3A contextual recommender system and explores its applicability and evaluation in the context of learners using multiple Web 2.0 applications.

AB - This paper discusses challenges and possible solutions of recommender systems for Technology-Enhanced Learning (TEL). It also briefly presents the the 3A contextual recommender system and explores its applicability and evaluation in the context of learners using multiple Web 2.0 applications.

KW - recommender system

KW - remashed

KW - trust

KW - algorithm

M3 - Paper

Y2 - 30 November 2009 through 3 December 2009

ER -

Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions

Abstract

Workshop

Keywords

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Cite this