Concept Focus

Semantic Meta-Data For Describing MOOC Content

Conference Paper (2018)
Author(s)

Sepideh Mesbah (TU Delft - Web Information Systems)

Guanliang Chen (TU Delft - Web Information Systems)

Manuel Valle Torre (TU Delft - Web Information Systems)

Alessandro Bozzon (TU Delft - Web Information Systems)

Christoph Lofi (TU Delft - Web Information Systems)

Geert-Jan Houben (TU Delft - Web Information Systems)

Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1007/978-3-319-98572-5_36
More Info
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Publication Year
2018
Language
English
Research Group
Web Information Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
11082
Pages (from-to)
467-481
Publisher
Springer
ISBN (print)
978-3-319-98571-8
ISBN (electronic)
978-3-319-98572-5
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

MOOCs promised to herald a new age of open education.
However, efficient access to MOOC content is still hard, thus unneces-
sarily complicating many use cases like efficient re-use of material, or
tailored access for life-long learning scenarios. One of the reasons for this
lack of accessibility is the shortage of meaningful semantic meta-data de-
scribing MOOC content and the resulting learning experience. In this pa-
per, we explore Concept Focus, a new type of meta-data for describing a
perceptual facet of modern video-based MOOCs, capturing how focused
a learning resource is topic-wise, which is often an indicator of clarity
and understandability. We provide the theoretical foundations of Con-
cept Focus and outline a methodical workflow of how to automatically
compute it for MOOC lectures. Furthermore, we show that the learners’
consumption behavior is correlated with a MOOC lecture’s Concept Focus, thus underlining that this type of meta-data is indeed relevant for user-centric querying, personalizing or even designing the MOOC experience. For showing this, we performed an extensive study with real-life
MOOCs and 12,849 learners over the duration of three months.

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