Swiecki, Z., Ruis, A. R., Farrell, C. & Shaffer, D. W. (in press). Assessing individual contributions to collaborative problem solving: A network analysis approach. Computers in Human Behavior. Download.
Swiecki, Z., Marquart, C., Sachar, A., Hinojosa, C., Ruis, A.R., Shaffer, D.W. (in press). Designing an interface for sharing quantitative ethnographic research data. Proceedings of the First International Conference on Quantitative Ethnography, Madison, WI. Download.
Swiecki, Z., Ruis, A. R., Gautam, D., Ruis, V., & Shaffer, D. W. (2019) Understanding when students are active-in-thinking through modeling-in-context. British Journal of Educational Technology, 50(5), 2346-2364. Download.
Swiecki, Z., Lian Z., Ruis A. R., & Shaffer, D. W. (2019). Does order matter? Investigating sequential and cotemporal models of collaboration. In K. Lund, G. Niccolai, E. Lavoué, C. Hmelo-Silver, G. Gweon, M. Baker (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, 13th International Conference on Computer-Supported Collaborative Learning (CSCL) 2019, Volume 1 (pp. 112-120). Lyon, France: International Society of the Learning Sciences. Download.
Swiecki, Z., Ruis, A. R., & Shaffer, D. W. (2019). Modeling and visualizing team performance using epistemic network analysis. In B. S. Goldberg (Ed.), Proceedings of the 7th Annual GIFT Users Symposium (GIFTSym7) (pp. 148-157). Orlando, Florida: U.S. Army Combat Capabilities Development Command—Solider Center. Download.
Swiecki, Z., & Shaffer, D.W. (2018). Toward a taxonomy of team performance visualization tools. In J. Kay & R. Luckin (Eds.), Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3 (pp. 144–151). London, UK: International Society of the Learning Sciences. Download.