Professor Alexandra Cristea alexandra.i.cristea@durham.ac.uk
Professor
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses
Cristea, A.; Alamri, Ahmed; Kayama, Mizue; Stewart, Craig; Alsheri, Mohammed; Shi, Lei
Authors
Ahmed Sarhan Alamri ahmed.s.alamri@durham.ac.uk
PGR Student Doctor of Philosophy
Mizue Kayama
Dr Craig Stewart craig.d.stewart@durham.ac.uk
Associate Professor
Mohammed Alsheri
Lei Shi
Contributors
B. Andersson
Editor
B. Johansson
Editor
S. Carlsson
Editor
C. Barry
Editor
M. Lang
Editor
H. Linger
Editor
C. Schneider
Editor
Abstract
Whilst a high dropout rate is a well-known problem in MOOCs, few studies take a data-driven approach to understand the reasons of such a phenomenon, and to thus be in the position to recommend and design possible adaptive solutions to alleviate it. In this study, we are particularly interested in finding a novel early detection mechanism of potential dropout, and thus be able to intervene at an as early time as possible. Additionally, unlike previous studies, we explore a light-weight approach, based on as little data as possible – since different MOOCs store different data on their users – and thus strive to create a truly generalisable method. Therefore, we focus here specifically on the generally available registration date and its relation to the course start date, via a comprehensive, larger than average, longitudinal study of several runs of all MOOC courses at the University of Warwick between 2014-1017, on the less explored European FutureLearn platform. We identify specific periods where different interventions are necessary, and propose, based on statistically significant results, specific pseudo-rules for adaptive feedback.
Citation
Cristea, A., Alamri, A., Kayama, M., Stewart, C., Alsheri, M., & Shi, L. (2018). Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses. In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | 27th International Conference on Information Systems Development (ISD2018). |
Acceptance Date | Jun 11, 2018 |
Online Publication Date | Oct 31, 2018 |
Publication Date | Oct 31, 2018 |
Deposit Date | Jul 18, 2018 |
Publicly Available Date | Aug 2, 2018 |
Publisher | Association for Information Systems |
Book Title | Information Systems Development: Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University. |
Public URL | https://durham-repository.worktribe.com/output/1144954 |
Publisher URL | https://aisel.aisnet.org/isd2014/proceedings2018/Education/5/ |
Files
Accepted Conference Proceeding
(730 Kb)
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