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2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2016)
San Francisco, CA, USA
Aug. 18, 2016 to Aug. 21, 2016
ISBN: 978-1-5090-2847-4
pp: 380-385
James Schaffer , Department of Computer Science, University of California Santa Barbara, Santa Barbara, California 93106
Brandon Huynh , Department of Computer Science, University of California Santa Barbara, Santa Barbara, California 93106
John O'Donovan , Department of Computer Science, University of California Santa Barbara, Santa Barbara, California 93106
Tobias Hollerer , Department of Computer Science, University of California Santa Barbara, Santa Barbara, California 93106
Yinglong Xia , IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598
Sabrina Lin , IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598
ABSTRACT
Massive open online courses (MOOCs) have high potential for improving education worldwide, but understanding of student behavior and situations is difficult to achieve in online settings. Network analytics and visualizations can assist instructors with supporting understanding of student behavior as courses unfold. In this work, we perform a visual comparative analysis of two different MOOC courses to analyze the impacts of course structure differences and demonstrate the benefits of visual network analysis in this context. We present several insights: (1) behavior features that are best for prediction of student attrition varied with course structure, (2) a large proportion (about 35%) of students never received a reply to their original post and this was correlated with an eventual dropout, and (3) students that received a reply to their original post were twice as likely to post again. We contribute several information visualizations of student network data and draw recommendations for MOOC instructors and designers of course systems.
INDEX TERMS
Social network services, Measurement, Visualization, Electronic mail, Context, Data visualization, Writing
CITATION

J. Schaffer, B. Huynh, J. O'Donovan, T. Hollerer, Y. Xia and S. Lin, "An analysis of student behavior in two massive open online courses," 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, CA, USA, 2016, pp. 380-385.
doi:10.1109/ASONAM.2016.7752262
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