Who does what in a massive open online course?
Name
Who does what.pdf
Size
1.59 MB
Format
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Checksum (MD5)
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Author(s)
Seaton, Daniel
Bergner, Yoav
Chuang, Isaac
Mitros, Piotr
Pritchard, David E
Date Issued
April 2014
Journal
Communications of the ACM
Publisher
Association for Computing Machinery (ACM)
Citation
Seaton, Daniel T.; Bergner, Yoav; Chuang, Isaac et al. “Who Does What in a Massive Open Online Course?” Communications of the ACM 57, 4 (April 2014): 58–65
Version
Original manuscript
Abstract
Massive open online courses (MOOCs) collect valuable data onstudent learning behavior: essentially complete records of all student interactions in a self-contained learning environment,with the benefit of large sample sizes. We present an overview of how the 108,000 participants
behaved in 6.002x - Circuits and Electronics, the first course in MITx (now edX). We divide participants into tranches based on the extent of their assessment activities, ranging from browsers (who constituted ~
76% of the participants but accounted for only 8% of the total time
spent in the course) to certificate-earners (7% of theparticipants
who accounted for 60% of the total time). We examine how the certificate
earners allocated their time amongst the various course components and study what fraction of each they accessed. We analyze transitions
between course components, showing, how student behavior differs when solving homework vs. exam problems. This work lays the foundation for future studies of how use of various course components, and transitions
among them, influence learning in MOOCs.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Office of Digital Learning
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2500876
