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Erschienen in:
Introduction and Background Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

2. TEL as a Recommendation Context

verfasst von : Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval

Erschienen in: Recommender Systems for Learning

Verlag: Springer New York

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Abstract

In this chapter, we define the TEL recommendation problem and identify TEL recommendation goals. More specifically, we reflect on user tasks that are supported in TEL settings, and how they compare to typical user tasks in other recommender systems. Then, we present an analysis of existing data sets that capture contextual learner interactions with tools and resources in TEL settings. These data sets can be used for a wide variety of research purposes, including experimental comparison of the performance of recommendation algorithms for learning.

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Vorheriges Kapitel Introduction and Background
Nächstes Kapitel Survey and Analysis of TEL Recommender Systems
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1
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Metadaten
Titel
TEL as a Recommendation Context
verfasst von
Nikos Manouselis
Hendrik Drachsler
Katrien Verbert
Erik Duval
Copyright-Jahr
2013
Verlag
Springer New York
Buch
Recommender Systems for Learning

Print ISBN: 978-1-4614-4360-5

Electronic ISBN: 978-1-4614-4361-2

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-1-4614-4361-2_2

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