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Publications

Found 116 results
Journal Article
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.
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.
J. M. Laffey, Amelung, C., and Goggins, S., Using Analytics for Activity Awareness in Learning Systems, International Journal of Designs for Learning, vol. accepted, 2014.PDF icon PDF (1.69 MB)
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)
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.
W. Xing and Goggins, S., Student Assessment in Small Groups: A Spectral Clustering Model, iConference 2015 Proceedings, 2015.
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.
I. Graves, McDonald, N., and Goggins, S., Sifting signal from noise: a new perspective on the meaning of tweets about the ‘big game’, New Media and Society, 2014.PDF icon PDF (1.59 MB)
S. P. Goggins, A Short History of Group Informatics, ECONOMICS OF NETWORKS eJOURNAL , vol. Online, no. Vol. 4, No. 41, 2012.PDF icon PDF (151.22 KB)
J. Laffey, Tsai, I. - C., Amelung, C., Hong, R. - Y., Galyen, K., and Goggins, S. P., The Role of Social Information for Social Ability, Sense of Community and Satisfaction in Online Learning, Journal of Open and Distance Education Research, vol. Accepted, 2011.
W. Xing, 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, no. Accepted, 2014.PDF icon PDF (1.58 MB)
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.
N. K. McDonald, Blincoe, K., Petakovic, E., and Goggins, S., Modeling Distributed Collaboration on GitHub, Advances in Complex Systems, vol. Accepted, 2014.PDF icon PDF (448.56 KB)
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.
S. Goggins, Xing, W., Chen, X., Chen, B., and Wadholm, R., Learning Analytics at “Small” Scale: Exploring A Complexity-Grounded Model for Assessment Automation, Journal of Universal Computer Science, no. Accepted, 2014.PDF icon PDF (1.87 MB)
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.
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.
W. Xing, Wadholm, R., Petakovic, E., and Goggins, S., Group Learning Assessment: Developing a Theory-Informed Analytics, Educational Technology and Society, 2014.PDF icon PDF (1.76 MB)
S. P. Goggins, Mascaro, C., and Valetto, G., Group Informatics: A Methodological Approach and Ontology for Understanding Socio-Technical Groups, JASIS&T, vol. Accepted, 2013.PDF icon PDF (889.03 KB)

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