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Beyond the MOOC platform : Gaining insights about learners from the social web. / Chen, Guanliang; Davis, D.J.; Lin, Jun; Hauff, Claudia; Houben, Geert Jan.

WebSci 2016: Proceedings of the 8th ACM Conference on Web Science. New York, NY : Association for Computing Machinery (ACM), 2016. p. 15-24.

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

Harvard

Chen, G, Davis, DJ, Lin, J, Hauff, C & Houben, GJ 2016, Beyond the MOOC platform: Gaining insights about learners from the social web. in WebSci 2016: Proceedings of the 8th ACM Conference on Web Science. Association for Computing Machinery (ACM), New York, NY, pp. 15-24, 8th ACM Web Science Conference, WebSci 2016, Hannover, Germany, 22/05/16. https://doi.org/10.1145/2908131.2908145

APA

Chen, G., Davis, D. J., Lin, J., Hauff, C., & Houben, G. J. (2016). Beyond the MOOC platform: Gaining insights about learners from the social web. In WebSci 2016: Proceedings of the 8th ACM Conference on Web Science (pp. 15-24). New York, NY: Association for Computing Machinery (ACM). https://doi.org/10.1145/2908131.2908145

Vancouver

Chen G, Davis DJ, Lin J, Hauff C, Houben GJ. Beyond the MOOC platform: Gaining insights about learners from the social web. In WebSci 2016: Proceedings of the 8th ACM Conference on Web Science. New York, NY: Association for Computing Machinery (ACM). 2016. p. 15-24 https://doi.org/10.1145/2908131.2908145

Author

Chen, Guanliang ; Davis, D.J. ; Lin, Jun ; Hauff, Claudia ; Houben, Geert Jan. / Beyond the MOOC platform : Gaining insights about learners from the social web. WebSci 2016: Proceedings of the 8th ACM Conference on Web Science. New York, NY : Association for Computing Machinery (ACM), 2016. pp. 15-24

BibTeX

@inproceedings{26e97b532e5e430ab053bdda2f2a4e4a,
title = "Beyond the MOOC platform: Gaining insights about learners from the social web",
abstract = "Massive Open Online Courses (MOOCs) have enabled millions of learners across the globe to increase their levels of expertise in a wide variety of subjects. Research efforts surrounding MOOCs are typically focused on improving the learning experience, as the current retention rates (less than 7{\%} of registered learners complete a MOOC) show a large gap between vision and reality in MOOC learning. Current data-driven approaches to MOOC adaptations rely on data traces learners generate within a MOOC platform such as edX or Coursera. As a MOOC typically lasts between five and eight weeks and with many MOOC learners being rather passive consumers of the learning material, this exclusive use of MOOC platform data traces limits the insights that can be gained from them. The SocialWeb potentially offers a rich source of data to supplement the MOOC platform data traces, as many learners are also likely to be active on one or more Social Web platforms. In this work, we present a first exploratory analysis of the Social Web platforms MOOC learners are active on - we consider more than 320,000 learners that registered for 18 MOOCs on the edX platform and explore their user profiles and activities on StackExchange, GitHub, Twitter and LinkedIn.",
author = "Guanliang Chen and D.J. Davis and Jun Lin and Claudia Hauff and Houben, {Geert Jan}",
year = "2016",
month = "5",
day = "22",
doi = "10.1145/2908131.2908145",
language = "English",
pages = "15--24",
booktitle = "WebSci 2016",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

RIS

TY - GEN

T1 - Beyond the MOOC platform

T2 - Gaining insights about learners from the social web

AU - Chen, Guanliang

AU - Davis, D.J.

AU - Lin, Jun

AU - Hauff, Claudia

AU - Houben, Geert Jan

PY - 2016/5/22

Y1 - 2016/5/22

N2 - Massive Open Online Courses (MOOCs) have enabled millions of learners across the globe to increase their levels of expertise in a wide variety of subjects. Research efforts surrounding MOOCs are typically focused on improving the learning experience, as the current retention rates (less than 7% of registered learners complete a MOOC) show a large gap between vision and reality in MOOC learning. Current data-driven approaches to MOOC adaptations rely on data traces learners generate within a MOOC platform such as edX or Coursera. As a MOOC typically lasts between five and eight weeks and with many MOOC learners being rather passive consumers of the learning material, this exclusive use of MOOC platform data traces limits the insights that can be gained from them. The SocialWeb potentially offers a rich source of data to supplement the MOOC platform data traces, as many learners are also likely to be active on one or more Social Web platforms. In this work, we present a first exploratory analysis of the Social Web platforms MOOC learners are active on - we consider more than 320,000 learners that registered for 18 MOOCs on the edX platform and explore their user profiles and activities on StackExchange, GitHub, Twitter and LinkedIn.

AB - Massive Open Online Courses (MOOCs) have enabled millions of learners across the globe to increase their levels of expertise in a wide variety of subjects. Research efforts surrounding MOOCs are typically focused on improving the learning experience, as the current retention rates (less than 7% of registered learners complete a MOOC) show a large gap between vision and reality in MOOC learning. Current data-driven approaches to MOOC adaptations rely on data traces learners generate within a MOOC platform such as edX or Coursera. As a MOOC typically lasts between five and eight weeks and with many MOOC learners being rather passive consumers of the learning material, this exclusive use of MOOC platform data traces limits the insights that can be gained from them. The SocialWeb potentially offers a rich source of data to supplement the MOOC platform data traces, as many learners are also likely to be active on one or more Social Web platforms. In this work, we present a first exploratory analysis of the Social Web platforms MOOC learners are active on - we consider more than 320,000 learners that registered for 18 MOOCs on the edX platform and explore their user profiles and activities on StackExchange, GitHub, Twitter and LinkedIn.

UR - http://www.scopus.com/inward/record.url?scp=84976427906&partnerID=8YFLogxK

U2 - 10.1145/2908131.2908145

DO - 10.1145/2908131.2908145

M3 - Conference contribution

SP - 15

EP - 24

BT - WebSci 2016

PB - Association for Computing Machinery (ACM)

CY - New York, NY

ER -

ID: 10683046