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 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 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

Garifal, B. (2016, November 23). How to Paint Galvanized Steel in 4 Easy Steps. Indmetalstrap.Com. https://www.indmetalstrap.com/paint-galvanized-steel-4-easy-steps/ Cite

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 Download 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 Download Download

Goggins, S., & Xing, W. (2016). Building models explaining student participation behavior in asynchronous online discussion. Computers & Education, 94, 241–251. Cite Download Download 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 Download 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 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 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 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 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 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 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 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 Download Download

Xing, W., & Goggins, S. P. (2014). Automated CSCL Group Assessment: Activity Theory based Computational Method. LAK Workshops. Cite Download 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 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 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