Publications

Google Scholar often finds my most recent publications before I update my personal site.  If you are following an old link from Google Scholar for a paper, try adding “pubs” to the front of the URL: http://pubs.seangoggins.net/ has my old site live for the moment.

Introne, J., Erickson, I., Semaan, B., & Goggins, S. (2020). Designing Sustainable Online Support: Examining the Effects of Design Change in Forty-Nine Online Health Support Communities. JASIS&T, 71(4), 379–394. Cite Download
Goggins, S., Lumbard, K., & Germonprez, M. (2020). Augur: Architecture for Capturing, Reshaping, and Socially Contextualizing Open Source Software Communities. ACM Transactions on Social Computing, Under Review. Cite
Laffey, J., Griffin, J., Sigoloff, J., Sadler, T., Goggins, S., Womack, A., Wulff, E., & Lander, S. (2019). Mission HydroSci: Meeting Learning Standards Through Gameplay Mission. Proceedings of the 41st Conference of the Association for Educational Communications and Technology, 41, 314–324. Cite Download
Laffey, J., Griffin, J., Sigoloff, J., Sadler, T., Goggins, S., Womack, A., Wulff, E., & Lander, S. (2019). HydroSci: Distance learning through game-Based 3D virtual learning environments. Proceedings of the International Conference on Computer Supported Collaborative Learning, 4. Cite Download
Germonprez, M., Lipps, J., & Goggins, S. (2019). The Strength of a Rising Tide: Open Source’s Steady Transformation. First Monday, 24(8). https://firstmonday.org/ojs/index.php/fm/article/view/9297/8061 Cite
Introne, J., & Goggins, S. (2019). Advice Reification, Learning, and Emergent Collective Intelligence in Online Health Support Communities. Computers in Human Behavior, Accepted. Cite Download
Laffey, J. M., Sadler, T. D., Goggins, S. P., Griffin, J., & Babiuch, R. N. (2019). Mission HydroSci: Distance learning through game-Based 3D virtual learning environments. In Virtual Reality in Education: Breakthroughs in Research and Practice (pp. 623–643). IGI Global. Cite
Bain, J., & Goggins, S. (2018). Mining Linguistic Diversity as a Signal for Identifying Regions Likely to Adapt to the Changing Nature of Work. Workshop on Work in the Age of Intelligent Machines, 2. Cite Download
Xing, W., Goggins, S., & Introne, J. (2018). Exploring the Temporal Participation Patterns in the Discussion Forums of Massive Open Online Courses. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2018.04.042 Cite Download
Germonprez, M., Link, G. J., Lumbard, K., & Goggins, S. (2018). Eight observations and 24 research questions about open source projects: illuminating new realities. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 57. Cite Download
Ahuja, V., Marti, D., Link, G., Germonprez, M., & Goggins, S. (2018). How to Measure the Impact of Your Open Source Project. Open Source Software. Cite
Link, G., Lumbard, K., Germonprez, M., & Goggins, S. (2018). Open Community Health: Workshop Report. Journal of Peer Production. Cite
Herrmann, T., Ackerman, M. S., Goggins, S. P., Stary, C., & Prilla, M. (2017). Designing Health Care That Works—Socio-technical Conclusions. In Designing Healthcare That Works (pp. 187–203). Elsevier. Cite Download
Ackerman, M., Prilla, M., Stary, C., Herrmann, T., & Goggins, S. (2017). Designing Healthcare That Works: A Sociotechnical Approach. Academic Press. Cite
Matei, S., Jullien, N., & Goggins, S. (Eds.). (2017). Big Data Factories: Collaborative Approaches. Springer. Cite Download
Link, G. J., Lumbard, K., Conboy, K., Feldman, M., Feller, J., George, J., Germonprez, M., Goggins, S., Jeske, D., Kiely, G., & others. (2017). Contemporary Issues of Open Data in Information Systems Research: Considerations and Recommendations. Communications of the Association for Information Systems, 41, 587–610. Cite
Goggins, S. P., Million, A., Link, G. J., Germonprez, M., & Schuster, K. (2017). The Open Community Data Exchange: Advancing Data Sharing and Discovery in Open Online Community Science. In Big Data Factories (pp. 23–35). Springer. Cite
Link, G. J., Lumbard, K., Germonprez, M., & Goggins, S. (2017). Advancing Open Online Community Science Practice: The Open Community Data Exchange. Cite
Goggins, S., Germonprez, M., Million, A., Halfaker, A., & Hemphill, L. (2017). Advancing the OCDX: Building Social Computing Infrastructure. Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 421–424. Cite
Laffey, J. M., Griffin, J., Sigoloff, J., Lander, S., Sadler, T., Goggins, S., Kim, S. M., Wulff, E., & Womack, A. J. (2017). Mission HydroSci: a progress report on a transformational role playing game for science learning. Proceedings of the 12th International Conference on the Foundations of Digital Games, 47. Cite Download
Introne, J., Semaan, B., & Goggins, S. (2016). A Sociotechnical Mechanism for Online Support Provision. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 3559–3571. Cite Download
Goggins, S., Galyen, K., Petakovic, E., & Laffey, J. (2016). Connecting performance to social structure and pedagogy as a pathway to scaling learning analytics in MOOCs: an exploratory study. Journal of Computer Assisted Learning, 32(3), 244–266. Cite Download
Blincoe, K., Sheoran, J., Goggins, S., Petakovic, E., & Damian, D. (2016). Understanding the popular users: Following, affiliation influence and leadership on GitHub. Information and Software Technology, 70, 30–39. Cite Download
Goggins, S., & Xing, W. (2016). Building models explaining student participation behavior in asynchronous online discussion. Computers & Education, 94, 241–251. Cite Download
Halfaker, A., Morgan, J., Pandian, Y., Thiry, E., Rand, W., Schuster, K., Million, A., Goggins, S., & Laniado, D. (2016). Breaking into new Data-Spaces: Infrastructure for Open Community Science. Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, 485–490. Cite Download
Link, G. J., Germonprez, M., Goggins, S., Hemsley, J., Rand, B., & Squire, M. (2016). The Open Community Data Exchange: Advancing Data Sharing and Discovery in Open Online Community Science. Cite Download
Mascaro, C., Agosto, D., & Goggins, S. P. (2016). The Method to the Madness: The 2012 United States Presidential Election Twitter Corpus. Proceedings of the 7th 2016 International Conference on Social Media & Society, 15. Cite Download
Fleischmann, K. R., Worrall, A., Anderson, T. D., Goggins, S., & Burnett, G. (2016). SIG CON Research Symposium:[Insert Title Here: Make Sure to Satisfy Titular Colonicity]. Bulletin of the Association for Information Science and Technology, 42(3), 33–35. Cite Download
Mascaro, C., Agosto, D., & Goggins, S. P. (2016). One-Sided Conversations: The 2012 Presidential Election on Twitter. Proceedings of the 17th International Digital Government Research Conference on Digital Government Research, 112–121. Cite Download
Laffey, J. M., Sadler, T. D., Goggins, S. P., Griffin, J., & Babiuch, R. N. (2016). Mission HydroSci: Distance Learning through Game-Based 3D Virtual Learning Environments. Cite
Morgan, J. T., Halfaker, A., Taraborelli, D., Goggins, S., Hwang, T., & Computing, S. (2015). Bridging the data divide. Cite Download
Taraborelli, D., Morgan, J. T., Halfaker, A., Hwang, T., & Goggins, S. (2015). Advancing an Industry/Academic Partnership Model for Open Collaboration Research. Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, 293–296. Cite Download
Mascaro, C. M., & Goggins, S. P. (2015). Technologically mediated political discourse during a nationally televised GOP primary debate. Journal of Information Technology & Politics, 12(3), 252–269. Cite Download
Xing, W., & Goggins, S. (2015). Learning analytics in outer space: a Hidden Naïve Bayes model for automatic student off-task behavior detection. Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 176–183. Cite Download
Goggins, S. P., Xing, W., Chen, X., Chen, B., & Wadholm, B. (2015). Learning Analytics at" Small" Scale: Exploring a Complexity-Grounded Model for Assessment Automation. J. UCS, 21(1), 66–92. Cite Download
Xing, W., Wadholm, R., Petakovic, E., & Goggins, S. (2015). Group learning assessment: Developing a theory-informed analytics. Journal of Educational Technology & Society, 18(2). Cite Download
Goggins, S. P. (2015). HFOSS: humanitarian open source software in the college classroom: pre-conference workshop. Journal of Computing Sciences in Colleges, 30(5), 91–92. Cite Download
Introne, J., & Goggins, S. (2015). Taming a Menagerie of Heavy Tails with Skew Path Analysis. Proceedings of the ACM Web Science Conference, 19. Cite Download
Xing, W., & Goggins, S. P. (2015). Student Assessment in Small Groups: A Spectral Clustering Model. IConference 2015 Proceedings. The iConference, Irvine CA. Cite Download
Postner, L., Burdge, D., Jackson, S., Ellis, H., Hislop, G., & Goggins, S. (2015). Using humanitarian free and open source software (HFOSS) to introduce computing for the social good. ACM SIGCAS Computers and Society, 45(2), 35–35. Cite Download
Xing, W., Kim, S., & Goggins, S. (2015). 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, 276–283. Cite Download
Xing, W., Guo, R., Petakovic, E., & Goggins, S. (2015). Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory. Computers in Human Behavior, 47, 168–181. Cite Download
Goggins, S. P., & Valetto, G. (2014). Assessing the Structural Fluidity of Virtual Organizations and Its Effects. In Socioinformatics-The Social Impact of Interactions between Humans and IT (pp. 121–137). Springer International Publishing. Cite Download
Xing, W., & Goggins, S. P. (2014). Automated CSCL Group Assessment: Activity Theory based Computational Method. LAK Workshops. Cite Download
McDonald, N., Blincoe, K., Petakovic, E., & Goggins, S. (2014). Modeling Distributed Collaboration on GitHub. Advances in Complex Systems, 17(7 & 8). Cite Download
Graves, I., McDonald, N., & Goggins, S. (2014). Sifting signal from noise: a new perspective on the meaning of tweets about the ‘big game.’ New Media and Society, Online–First. Cite Download
Rose, C. P., Stahl, G., Goggins, S., Patterson, E., Borge, M., Carroll, J., & Duchon, A. (2014). Towards Optimization of Macrocognitive Processes: Automating Analysis of the Emergence of Leadership in Ad Hoc Teams. CARNEGIE-MELLON UNIV PITTSBURGH PA. Cite Download
Xing, W., Wadholm, B., & Goggins, S. (2014). Learning analytics in CSCL with a focus on assessment: An exploratory study of activity theory-informed cluster analysis. Proceedings of the Fourth International Conference on Learning Analytics and Knowledge, 59–67. Cite Download
Goggins, S. P. (2014). Designing computer-supported collaborative learning at work for rural IT workers: Learning ensembles and geographic isolation. British Journal of Educational Technology, 45(6), 1069–1081. Cite Download
Goggins, S., & Petakovic, E. (2014). Connecting theory to social technology platforms a framework for measuring influence in context. American Behavioral Scientist, 0002764214527093. Cite Download