Posts tagged Chen
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