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Publications

Found 116 results
2016
A. Halfaker, Morgan, J., Pandian, Y., Thiry, E., Rand, W., Schuster, K., Million, A. J., Goggins, S., and Laniado, D., Breaking into new Data-Spaces: Infrastructure for Open Community Science, in Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, 2016.
S. Goggins and Xing, W., Building models explaining student participation behavior in asynchronous online discussion, Computers & Education, vol. 94, pp. 241–251, 2016.PDF icon PDF (615.56 KB)
S. Goggins, Galyen, K., Petakovic, E., and Laffey, S., Connecting Performance to Social Structure and Pedagogy as a Pathway to Scaling Learning Analytics in MOOCs: An Exploratory Study, Journal of Computer Assisted Learning, 2016.PDF icon GogginsGalyenLaffey-2016.pdf (1.05 MB)
C. Mascaro, Agosto, D., and Goggins, S., The Method to the Madness: The 2012 Presidential Election Twitter Corpus. , in International Conference on Social Media & Society, London, England, 2016.PDF icon PDF (417.3 KB)
C. Mascaro, Agosto, D., and Goggins, S., One-Sided Conversations: The 2012 Presidential Election on Twitter, International Digital Government Research Conference. Shanghai, China, 2016.PDF icon PDF (417.6 KB)
G. Link, Germonprez, M., Goggins, S., Hemsley, J., Rand, B., and Squire, M., The Open Community Data Exchange: Advancing Data Sharing and Discovery in Open Online Community Science, OpenSym. 2016.PDF icon PDF (429.03 KB)
K. R. Fleischmann, Worrall, A., Anderson, T. Dirndorfer, Goggins, S., and Burnett, G., SIG CON Research Symposium:[Insert Title Here: Make Sure to Satisfy Titular Colonicity], Bulletin of the Association for Information Science and Technology, vol. 42, pp. 33–35, 2016.
J. Introne, Semaan, B., and Goggins, S. P., A Sociotechnical Mechanism for Online Support Provision, ACM SIGCHI. ACM, San Jose, CA, pp. 2807-2819, 2016.PDF icon PDF (410.79 KB)
K. Blincoe, Sheoran, J., Goggins, S., Petakovic, E., and Damian, D., Understanding the popular users: Following, affiliation influence and leadership on GitHub, Information and Software Technology, vol. 70, pp. 30–39, 2016.PDF icon PDF (631.02 KB)
2015
J. T. Morgan, Halfaker, A., Taraborelli, D., Hwang, T., and Goggins, S., Advancing an Industry/Academic Partnership Model for Open Collaboration Research, in Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, 2015.
J. T. Morgan, Halfaker, A., Taraborelli, D., Goggins, S., Hwang, T., and Computing, S., Bridging the data divide. 2015.
W. Xing, Wadholm, R., Petakovic, E., and Goggins, S., Group Learning Assessment: Developing a Theory-Informed Analytics, Journal of Educational Technology & Society, vol. 18, pp. 110–128, 2015.
S. Patrick Goggins, HFOSS: humanitarian open source software in the college classroom: pre-conference workshop, Journal of Computing Sciences in Colleges, vol. 30, pp. 91–92, 2015.
S. Goggins, Xing, W., Chen, X., Chen, B., and Wadholm, B., Learning Analytics at" Small" Scale: Exploring a Complexity-Grounded Model for Assessment Automation, Journal of Universal Computer Science, vol. 21, pp. 66–92, 2015.
W. Xing and Goggins, S., Learning analytics in outer space: a Hidden Naıve Bayes model for automatic student off-task behavior detection, in Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015.
W. Xing, Kim, S. Mi, and Goggins, S., Modeling Performance in Asynchronous CSCL: An Exploration of Social Ability, Collective Efficacy and Social Interaction, Exploring the material conditions of learning: Proceedings of the computer supported collaborative learning (CSCL 2015). International Society of the Learning Sciences Gothenburg, Sweden, pp. 276–283, 2015.
W. Xing, Guo, R., Petakovic, E., and Goggins, S., Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory, Computers in Human Behavior, vol. 47, pp. 168–181, 2015.
W. Xing and Goggins, S., Student Assessment in Small Groups: A Spectral Clustering Model, iConference 2015 Proceedings, 2015.
C. M. Mascaro and Goggins, S. P., Technologically Mediated Political Discourse During a Nationally Televised GOP Primary Debate, Journal of Information Technology & Politics, vol. 12, pp. 252–269, 2015.
L. Postner, Burdge, D., Jackson, S., Ellis, H., Hislop, G., and Goggins, S., Using humanitarian free and open source software (HFOSS) to introduce computing for the social good, ACM SIGCAS Computers and Society, vol. 45, pp. 35–35, 2015.
L. Postner, Burdge, D., Jackson, S., Ellis, H., Hislop, G., and Goggins, S., Using humanitarian free and open source software to introduce computing for the social good, 2015.

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