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Publications

Found 133 results
Filters: First Letter Of Last Name is G  [Clear All Filters]
Journal Article
K. Unsworth, Axelsson, A. - S., Goggins, S., and Mascaro, C., Exercising Control: A Comparative Study of Government Agencies and their Relationships with the Public Using Social Media, Selected Papers of Internet Research, 2012.PDF icon PDF (219.78 KB)
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)
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. 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, 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. 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.
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)
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.
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.
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.
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.
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)
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)
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)
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.
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.
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)
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)
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.
Poster
C. Mascaro and Goggins, S., Coffee or Tea: The Emergence of Networks of Discourse in Two Online Political Groups. The Future of Computational Social Science Conference, Seattle, WA, 2011.

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