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Concept Focus : Semantic Meta-Data For Describing MOOC Content. / Mesbah, Sepideh; Chen, Guanliang; Torre, Manuel Valle; Bozzon, Alessandro; Lofi, Christoph; Houben, Geert-Jan.

Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Proceedings. ed. / Viktoria Pammer-Schindler; Mar Pérez-Sanagustín; Hendrik Drachsler; Raymond Elferink; Maren Scheffel. Vol. 11082 Cham : Springer, 2018. p. 467-481 (Lecture Notes in Computer Science; Vol. 11082).

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Harvard

Mesbah, S, Chen, G, Torre, MV, Bozzon, A, Lofi, C & Houben, G-J 2018, Concept Focus: Semantic Meta-Data For Describing MOOC Content. in V Pammer-Schindler, M Pérez-Sanagustín, H Drachsler, R Elferink & M Scheffel (eds), Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Proceedings. vol. 11082, Lecture Notes in Computer Science, vol. 11082, Springer, Cham, pp. 467-481, 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, United Kingdom, 3/09/18. https://doi.org/10.1007/978-3-319-98572-5_36

APA

Mesbah, S., Chen, G., Torre, M. V., Bozzon, A., Lofi, C., & Houben, G-J. (2018). Concept Focus: Semantic Meta-Data For Describing MOOC Content. In V. Pammer-Schindler, M. Pérez-Sanagustín, H. Drachsler, R. Elferink, & M. Scheffel (Eds.), Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Proceedings (Vol. 11082, pp. 467-481). (Lecture Notes in Computer Science; Vol. 11082). Cham: Springer. https://doi.org/10.1007/978-3-319-98572-5_36

Vancouver

Mesbah S, Chen G, Torre MV, Bozzon A, Lofi C, Houben G-J. Concept Focus: Semantic Meta-Data For Describing MOOC Content. In Pammer-Schindler V, Pérez-Sanagustín M, Drachsler H, Elferink R, Scheffel M, editors, Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Proceedings. Vol. 11082. Cham: Springer. 2018. p. 467-481. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-98572-5_36

Author

Mesbah, Sepideh ; Chen, Guanliang ; Torre, Manuel Valle ; Bozzon, Alessandro ; Lofi, Christoph ; Houben, Geert-Jan. / Concept Focus : Semantic Meta-Data For Describing MOOC Content. Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Proceedings. editor / Viktoria Pammer-Schindler ; Mar Pérez-Sanagustín ; Hendrik Drachsler ; Raymond Elferink ; Maren Scheffel. Vol. 11082 Cham : Springer, 2018. pp. 467-481 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{94f59f3db0ec4454ab261c73368b9b5b,
title = "Concept Focus: Semantic Meta-Data For Describing MOOC Content",
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, ortailored access for life-long learning scenarios. One of the reasons for thislack 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 aperceptual facet of modern video-based MOOCs, capturing how focuseda learning resource is topic-wise, which is often an indicator of clarityand understandability. We provide the theoretical foundations of Con-cept Focus and outline a methodical workflow of how to automaticallycompute 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-lifeMOOCs and 12,849 learners over the duration of three months.",
author = "Sepideh Mesbah and Guanliang Chen and Torre, {Manuel Valle} and Alessandro Bozzon and Christoph Lofi and Geert-Jan Houben",
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.",
year = "2018",
doi = "10.1007/978-3-319-98572-5_36",
language = "English",
isbn = "978-3-319-98571-8",
volume = "11082",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "467--481",
editor = "Viktoria Pammer-Schindler and Mar P{\'e}rez-Sanagust{\'i}n and Hendrik Drachsler and Raymond Elferink and Maren Scheffel",
booktitle = "Lifelong Technology-Enhanced Learning",

}

RIS

TY - GEN

T1 - Concept Focus

T2 - Semantic Meta-Data For Describing MOOC Content

AU - Mesbah, Sepideh

AU - Chen, Guanliang

AU - Torre, Manuel Valle

AU - Bozzon, Alessandro

AU - Lofi, Christoph

AU - Houben, Geert-Jan

N1 - 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.

PY - 2018

Y1 - 2018

N2 - 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, ortailored access for life-long learning scenarios. One of the reasons for thislack 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 aperceptual facet of modern video-based MOOCs, capturing how focuseda learning resource is topic-wise, which is often an indicator of clarityand understandability. We provide the theoretical foundations of Con-cept Focus and outline a methodical workflow of how to automaticallycompute 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-lifeMOOCs and 12,849 learners over the duration of three months.

AB - 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, ortailored access for life-long learning scenarios. One of the reasons for thislack 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 aperceptual facet of modern video-based MOOCs, capturing how focuseda learning resource is topic-wise, which is often an indicator of clarityand understandability. We provide the theoretical foundations of Con-cept Focus and outline a methodical workflow of how to automaticallycompute 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-lifeMOOCs and 12,849 learners over the duration of three months.

U2 - 10.1007/978-3-319-98572-5_36

DO - 10.1007/978-3-319-98572-5_36

M3 - Conference contribution

SN - 978-3-319-98571-8

VL - 11082

T3 - Lecture Notes in Computer Science

SP - 467

EP - 481

BT - Lifelong Technology-Enhanced Learning

A2 - Pammer-Schindler, Viktoria

A2 - Pérez-Sanagustín, Mar

A2 - Drachsler, Hendrik

A2 - Elferink, Raymond

A2 - Scheffel, Maren

PB - Springer

CY - Cham

ER -

ID: 45345789