Posts tagged Houben
Beyond the MOOC platform: gaining insights about learners from the social web
Paper presented at the 8th ACM Conference on Web Science in Hanover, Germany.
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 Social Web 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.
Reference
Guanliang Chen, Dan Davis, Jun Lin, Claudia Hauff, and Geert-Jan Houben. 2016. Beyond the MOOC platform: gaining insights about learners from the social web. In Proceedings of the 8th ACM Conference on Web Science (WebSci ’16). ACM, New York, NY, USA, 15-24. DOI=http://dx.doi.org/10.1145/2908131.2908145
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Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice
Paper presented at the Learning @ Scale 2016 conference in Edinburgh.
Abstract
The rising number of Massive Open Online Courses (MOOCs) enable people to advance their knowledge and competencies in a wide range of fields. Learning though is only the first step, the transfer of the taught concepts into practice is equally important and often neglected in the investigation of MOOCs. In this paper, we consider the specific case of FP101x (a functional programming MOOC on edX) and the extent to which learners alter their programming behaviour after having taken the course. We are able to link about one third of all FP101x learners to GitHub, the most popular social coding platform to date and contribute a first exploratory analysis of learner behaviour beyond the MOOC platform. A detailed longitudinal analysis of GitHub log traces reveals that (i) more than 8% of engaged learners transfer, and that (ii) most existing transfer learning findings from the classroom setting are indeed applicable in the MOOC setting as well.
Reference
Guanliang Chen, Dan Davis, Claudia Hauff, and Geert-Jan Houben. 2016. Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale (L@S ’16). ACM, New York, NY, USA, 409-418. DOI=http://dx.doi.org/10.1145/2876034.2876035