Follow the successful crowd

Raising MOOC completion rates through social comparison at scale

Conference Paper (2017)
Author(s)

D.J. Davis (TU Delft - Web Information Systems)

Ioana Jivet (Open University of the Netherlands)

René F. Kizilcec (Stanford University)

Guanliang Chen (TU Delft - Web Information Systems)

Claudia Hauff (TU Delft - Web Information Systems)

Geert Jan Houben (TU Delft - Web Information Systems)

Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3027385.3027411
More Info
expand_more
Publication Year
2017
Language
English
Research Group
Web Information Systems
Pages (from-to)
454-463
ISBN (electronic)
978-1-4503-4870-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Social comparison theory asserts that we establish our social and personal worth by comparing ourselves to others. In in-person learning environments, social comparison offers students critical feedback on how to behave and be successful. By contrast, online learning environments afford fewer social cues to facilitate social comparison. Can increased availability of such cues promote effective self-regulatory behavior and achievement in Massive Open Online Courses (MOOCs)? We developed a personalized feedback system that facilitates social comparison with previously successful learners based on an interactive visualization of multiple behavioral indicators. Across four randomized controlled trials in MOOCs (overall N = 33, 726), we find: (1) the availability of social comparison cues significantly increases completion rates, (2) this type of feedback benefits highly educated learners, and (3) learners' cultural context plays a significant role in their course engagement and achievement.

Files

Davis2017follow.pdf
(pdf | 0.7 Mb)
License info not available