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Publications

Found 116 results
Journal Article
S. Goggins, Schmidt, M., Moore, J. L., and Guajardo, J., 3D Virtual Worlds: Assessing the Experience and Informing Design, International Journal of Social and Organizational Dynamics in IT, vol. 1, pp. 30-48, 2011.PDF icon PDF (579.8 KB)
I. Erickson, Allen, W., Arora, P., Goggins, S., Shankar, K., and Yew, J., Breaking Down and Building Up: Accelerating Sociotech Scholarship in the iSchool Community, iConference 2014 Proceedings, 2014.
I. C. Tsai, Kim, B., Liu, P. J., Goggins, S. P., Kumalasari, C., and Laffey, J. M., Building a Model Explaining the Social Nature of Online Learning, Educational Technology & Society, vol. 11, pp. 198–215, 2008.
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)
C. Mascaro, Novak, A., and Goggins, S., Coffee or Tea: The Emergence of Networks of Discourse in Two Online Political Groups., Journal of Information Technology and Politics, vol. 9, no. 3, 2012.PDF icon PDF (470.34 KB)
S. P. Goggins, Laffey, J., and Gallagher, M., Completely online group formation and development: small groups as socio-technical systems, Information Technology & People, vol. 24, pp. 104-133, 2011.PDF icon PDF (414.43 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)
S. Goggins and Petakovic, E., Connecting Theory to Social Technology Platforms: A Framework For Measuring Influence in Context, American Behavioral Scientist, vol. Accepted, 2014.PDF icon PDF (512.38 KB)
J. Laffey, Amelung, C., and Goggins, S., A Context Awareness System for Online Learning: Design Based Research., International Journal on E-Learning, vol. 8, pp. 313-330, 2009.
S. Goggins and Mascaro, C., Context Matters: The Experience of Physical, Informational and Cultural Distance in a Rural IT Firm, The Information Society, vol. 29, no. 2, 2013.PDF icon PDF (146.35 KB)
S. Goggins, Valetto, P., Mascaro, C., and Blincoe, K., Creating A model of the Dynamics of Socio-Technical Groups using Electronic Trace Data, User Modeling and User-Adapted Interaction: The Journal of Personalization Research, vol. Accepted, 2013.PDF icon PDF (981.46 KB)
S. Goggins and Jahnke, I., CSCL@Work: Computer-Supported Collaborative Learning at the Workplace – Making Learning Visible in Unexpected Online Places Across Established Boundaries, International Journal of Sociotechnology and Knowledge Development, vol. 4, no. 3, pp. 17-37, 2012.PDF icon PDF (429.45 KB)
C. Mascaro, Novak, A., and Goggins, S., The Daily Brew: The Structural Evolution of the Coffee Party on Facebook During the 2010 United States Midterm Election Season, Journal of Information Technology and Politics, vol. 9, 2012.PDF icon PDF (470.34 KB)
M. Schmidt, Laffey, J., Stichter, J., Goggins, S., and Schmidt, C., The design of iSocial: A three-dimensional, multi-user, virtual learning environment for individuals with autism spectrum disorders to learn social skills, International Journal of Technology, Knowledge and Society, vol. 4, pp. 29–38, 2008.
S. Goggins, Designing Computer-supported Collaborative Learning at Work for Rural IT Workers: Learning Ensembles and Geographic Isolation, British Journal of Educational Technology, vol. accepted, 2014.PDF icon PDF (636.24 KB)
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, Educational Technology and Society, 2014.PDF icon PDF (1.76 MB)
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.
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)
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.

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