Workshop on recommender systems for technology enhanced learning

Authors:
Nikos Manouselis;Hendrik Drachsler;Katrien Verbert;Olga C. Santos
Affiliations:
Greek Research & Technology Network (GRNET), Athens, Greece;Open University of the Netherlands, Heerlen, Netherlands;Katholieke Universiteit Leuven Departement, Leuven, Belgium;UNED, Madrid, Spain
Venue:
Proceedings of the fourth ACM conference on Recommender systems
Year:
2010

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Abstract

This workshop presents the current status related to the design, development and evaluation of recommender systems in educational settings. It emphasizes the importance of recommender systems for Technology Enhanced Learning (TEL) to support learners with personalized learning resources and suitable peer learners to improve their learning process. Moreover, it proposes a dataTEL challenge to obtain data sets from TEL applications that can be used to benchmark algorithms specifically for the TEL context.