Curriculum Vitae

Education

2020 (expected) Ph.D., Educational Psychology, University of Wisconsin, Madison

2016 M.S., Educational Psychology, University of Wisconsin, Madison

2013 B.S., summa cum laude, Physics & Mathematics, University of Alabama, Tuscaloosa

Publications

PEER-REVIEWED JOURNAL ARTICLES

  1. 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.

  2. 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.

  3. Markovetz, M. R., Sullivan, S., Clark, R. M., Swiecki Z., Arastoopour Irgens, G., Chesler, N. C., Shaffer, D. W., & Bodnar, C. A., (2017). A grounded qualitative analysis of the effect of a focus group on design process in a virtual internship. International Journal of Engineering Education, 33(6), 1834-1831.

  4. Siebert-Evenstone, A. L., Arastoopour Irgens, G., Collier, W., Swiecki, Z., Ruis, A. R., & Shaffer, D. W. (2017). In search of conversational grain size: Modeling semantic structure using moving stanza windows. Journal of Learning Analytics, 4(3), 123-139.

  5. Markovetz, M.R., Clark, R.M., Swiecki, Z., Arastoopour, G., Chesler, N.C., Shaffer, D.W., & Bodnar, C.A. (2016).  Influence of end customer exposure on product design within an epistemic game environment.  Advances in Engineering Education, 6(2), 1-22.

  6. Arastoopour, G., Shaffer, D.W., Swiecki, Z., Ruis, A.R., & Chesler, N.C. (2016). Teaching and assessing engineering design thinking with virtual internships and epistemic network analysis. International Journal of Engineering Education32(3B), 1492–1501.

  7. Chesler, N.C., Ruis, A.R., Collier, W., Swiecki, Z., Arastoopour, G., & Shaffer, D.W. (2015). A novel paradigm for engineering education: Virtual internships with individualized mentoring and assessment of engineering thinking. Journal of Biomechanical Engineering, 137(2).

BOOK CHAPTERS

  1. Swiecki, Z., Misfeldt, M., Stoddard, J., Shaffer, D.W. (2017). Dependency-Centered design as an approach to pedagogical authoring. In Y. Baek (Ed.), Game-Based learning: Theory, strategies and performance Outcomes. Hauppauge, NY: NOVA.

  2. Stoddard, J., Swiecki, Z., & Shaffer, D.W. (2018). Behind the curtain: an epistemic design process for democratic media education simulations. In C. Wright-Maley (Ed.) More like life itself: Simulations as powerful and purposeful social studies(pp. 21-39). Charlotte, NC: Information Age Press.

PEER-REVIEWED CONFERENCE PROCEEDINGS

  1. 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.

  2. Eagan, B., Swiecki, Z., Farrell, C., & Shaffer, D. W. (2019). The binary replicate test: Determining the sensitivity of CSCL models to coding error. 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 2 (pp. 328-336). Lyon, France: International Society of the Learning Sciences.

  3. 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.
    M Finalist for the Naomi Miyake Best Student Paper Award.

  4. Swiecki, Z. & Shaffer, D. W. (2019). Modeling the contributions of individuals to collaborative problem solving using epistemic network analysis. 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 2 (pp. 1102-1103). Lyon, France: International Society of the Learning Sciences.

  5. 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.

  6. 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.

  7. Herder, T., Swiecki, Z., Fougt, S. S., Tamborg, A. L., Allsopp, B. B., Shaffer, D. W., & Misfeldt, M. (2018). Supporting teacher’s intervention in student’s virtual collaboration using a network based model. In A. Pardo, K. Bartimore, G. Lynch, S. Buckingham Shum, R. Ferguson, A. Merceron, & X. Ochoa (Eds.), Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge (pp. 21-25). Sydney, Australia: Society for Learning Analytics Research.

  8. Gautam, D., Swiecki, Z., Shaffer, D. W., Graesser, A.C., Rus, V. (2017). Modeling Classifiers for Virtual Internships Without Participant Data. In X. Hu, T. Barnes, A. Hershkovitz, & L. Paquette (Eds.), Proceedings of the 10th International Conference on Educational Data Mining(pp. 278-283). Wuhan, Hubei, China: EDM Society.

  9. Rus, V., Gautam, D., Swiecki, Z., Shaffer, D.W., & Graesser, A. (2016). Assessing student-generated design justifications in virtual engineering internships. In T. Barnes, M. Chi, & M. Feng (Eds.), Proceedings of the 9th International Conference on Educational Data Mining (pp. 496-501). Raleigh, NC: EDM Society.

  10. Siebert-Evenstone, A. L., Arastoopour, G., Collier, W., Swiecki, Z., Ruis, A. R., & Shaffer, D.W. (2016). In search of conversational grain size: Modeling semantic structure using moving stanza windows. In C. K. Looi, J. Polman, U. Cress, & P. Reimann (Eds.), Transforming Learning, Empowering Learners: The International Conference of the Learning Sciences (ICLS) 2016, Volume 2 (pp. 631-638). Singapore: International Society of the Learning Sciences. 

SOFTWARE

  1. Marquart, C. L., Hinojosa, C., Swiecki, Z., & Shaffer, D. W. (2018). Epistemic Network Analysis (Version 1.0). Retrieved from http://app.epistemicnetwork.org/login.html

  2. Marquart, C., Swiecki, Z., Collier, W., Eagan, B., Woodward, R., & Shaffer, D. W. (2018). rENA: Epistemic Network Analysis (Version 0.1.5). Retrieved from https://cran.rstudio.com/web/packages/rENA/index.html

  3. Marquart, C., Swiecki, Z., Eagan, B.,& Shaffer, D. W. (2018). ncodeR: Techniques for Automated Classifiers (Version 0.1.2). Retrieved from https://cran.r-project.org/web/packages/ncodeR/index.html

Presentations & Conferences

INVITED PRESENTATIONS

  1. Swiecki, Z., (2019, August). Visualizing team performance: An epistemic network analysis approach. The Eighth Annual Generalized Intelligent Framework for Tutoring (GIFT) Expert Workshop: Data Visualization and Tutoring Orlando, Florida.

PRESENTER

  1. Swiecki, Z. (2019, June). Does order matter? Investigating sequential and cotemporal models of collaboration. Paper presented at the 13th International Conference on Computer-Supported Collaborative Learning, Lyon, France.

  2. Swiecki, Z. (2018, June). Toward a taxonomy of team performance visualization tools. Paper presented at the 13th International Conference of the Learning Sciences, London, UK.

CONTRIBUTOR

  1. Siebert-Evenstone, A.L., Swiecki, Z., Eagan, B., Brohinsky, J., Fogel, A., Want, Y., & Shaffer, D.W. (2019, October). Zone it! A mobile application for practice- and place-based learning. Paper presented at the Learning Sciences Graduate Student Conference, Chicago, IL.

  2. Swiecki, Z., Ruis, A. R., & Shaffer, D. W. (2019, May). Modeling and visualizing team performance using epistemic network analysis. Paper presented at the 7th annual GIFT Users Symposium, Orlando, Florida.

  3. Markovetz, M., Clark, R., Arastoopour, G., Swiecki, Z., Chesler, N. C., Bodnar, C. A. (2016, June). Innovative design within the context of virtual internships: How can it be defined and how is it related to the student design process? Paper presented at the 123rd ASEE Annual Conference & Exposition, New Orleans, LA.

  4. Arastoopour, G., Swiecki, Z., Chesler, N.C., & Shaffer, D.W. (2015, July). Epistemic network analysis as a tool for engineering design assessment. Paper presented at the 122nd ASEE Annual Conference and Exposition, Seattle, WA.

  5. Arastoopour, G., Shaffer, D.W., Swiecki, Z., Ruis, A.R., & Chesler, N.C. (2015, June). Teaching and Assessing Engineering Design Thinking with Virtual Internships and Epistemic Network Analysis. Paper presented at the Harvey Mudd Design Workshop, Claremont, CA.

WORKSHOPS CO-ORGANIZED

  1. Swiecki, Z., Marquart, C., & Joksimović, S. (2019, October). Advanced epistemic network analysis workshop. Workshop hosted by the First International Conference on Quantitative Ethnography Madison, WI.

  2. Siebert-Evenstone, A., Eagan, B., Swiecki, Z., Lee, S., & Hamilton, E. (2019, June). Creating, refining, and validating automated discourse codes: An introduction to nCoder and rho. Workshop hosted by the 13th International Conference on Computer-Supported Collaborative Learning (CSCL) Lyon, France.

  3. Siebert-Evenstone, A., Swiecki, Z., Eagan, B., Sung, H., & Shaffer, D. W. (2018, October). Developing and validating automated discourse codes: An introduction to nCodeR. Workshop hosted by the Learning Sciences Graduate Student Conference (LSGS) Nashville, TN.

  4. Eagan, B., Siebert-Evenstone, A., Swiecki, Z., Marquart, C., & Shaffer, D. W. (2018, July). Quantitative ethnography workshop. Workshop hosted by the Wisconsin Center for Education for Education Research (WCER) and the Epistemic Analytics Lab Madison, WI.

  5. Eagan, B., Swiecki, Z., Mochizuki, T., Joksimović, S., Marquart, C., & Misfeldt, M. (2018, June). Quantitative ethnography workshop: Applying the tools of quantitative ethnography to your data. Workshop hosted by the 13th International Conference of the Learning Sciences (ICLS) London, UK.

  6. Eagan, B., Swiecki, Z., Siebert-Evenstone, A., Herder, T., Sung, H., & Shaffer, D. W. (2017, October). Quantitative ethnography in R: An introduction to rhoR and R-ENA workshop. Workshop hosted by the Learning Sciences Graduate Students Conference (LSGS) Bloomington, Indiana.

  7. Eagan, B., Swiecki, Z., Arastoopour, G., & Shaffer, D. W. Epistemic network analysis (ENA) workshop. (2016, October). Workshop hosted by the Learning Sciences Graduate Students Conference (LSGS) Chicago, Illinois.

POSTER PRESENTATIONS

PRESENTER

  1. Swiecki, Z. (2019, October). Designing an interface for sharing quantitative ethnographic research data. Poster presented at the First Annual International Conference on Quantitative Ethnography Madison, WI.

CONTRIBUTER

  1. Swiecki, Z., Ruis, V., Cai, Z., Gautam, D., & Shaffer, D. W. (2018, May). Comparing general and domain-specific LSA classifiers in the context of virtual internships. Poster presented at the 31st International FLAIRS Conference Melbourne, Florida.

  2. Swiecki, Z., Gautam, D., Rus, V., Shaffer, D. W., & Graesser, A. C. (2017, July). Automated classifiers for virtual internships without participant data. Poster presented at the 28th Annual Meeting of the Society for Text & Discourse Brighton, UK.

RESEARCH

2018 Assessment of the Readiness of Teams, Epistemic Analytics Lab, University of Wisconsin, Madison 

2017 Epistemic Network Analysis, Epistemic Analytics Lab, University of Wisconsin, Madison 

2014–2017 Virtual Internship Authoring, Epistemic Analytics Lab, University of Wisconsin, Madison 

2013–2015 Virtual Internships, Epistemic Analytics Lab, University of Wisconsin,  Madison 

TEACHING

2018, 2019 Guest Lecturer, Current Topics in the Learning Sciences, University of Wisconsin, Madison

2018 Instructor, Human Abilities and Learning, University of Wisconsin, Madison 

2016, 2017 Teaching Assistant, Human Abilities and Learning, University of Wisconsin, Madison

AWARDS

2019 Doctoral Consortium, International Conference on Computer-Supported Collaborative Learning 

2015 CADRE Fellow, CADRE Fellows Program 

2012 B.B. Comer Math Prize, University of Alabama, Tuscaloosa 

2008 Smith Scholar, Smith Scholarship Foundation 

2008 Coca-Cola Scholar, Coca-Cola Scholars Program 

SERVICE

ADHOC REVIEWER 

Computers in Human Behavior

International Conference on Computer-Supported Collaborative Learning

International Conference of the Learning Sciences 

International Conference on Quantitative Ethnography

Learning Sciences Graduate Student Conference

Nova Science Publishers

Download Zachari Swiecki’s Curriculum Vitae.

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