Projects per year
Personal profile
Biography
Zachari Swiecki is a Lecturer of Learning Analytics in the Faculty of Information Technology at Monash University. He received his master's and Ph.D. in Educational Psychology from the University of Wisconsin-Madison where he was a member of the Epistemic Analytics lab. He graduated summa cum laude from the University of Alabama with a bachelor's degree in Mathematics and Physics. He has played a central role in the development and dissemination of Quantitative Ethnography, an emerging methodology that combines qualitative analysis, statistics, and data science into a single framework.
Research interests
Zachari's current work focuses on learning analytics—the application of data science techniques to learning contexts—with an emphasis on collaborative settings. This work includes developing novel techniques for modelling collaborative processes, applying these models in domains such as engineering design, medicine, and the military, and designing real-time systems for monitoring teams. Past projects include the research and development of innovative educational simulations, automated assessment techniques, and simulation authoring tools for educators.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Educational Psychology, Doctor of Philosophy , University of Wisconsin Madison
Aug 2013 → Aug 2020
Award Date: 23 Aug 2020
Educational Psychology, Master of Science, University of Wisconsin Madison
Aug 2013 → Dec 2015
Award Date: 24 Dec 2015
Mathematics & Physics, Bachelor of Science, University of Alabama, Tuscaloosa
Aug 2008 → May 2013
Award Date: 11 May 2013
Research area keywords
- Learning Analytics
- Collaborative Learning
- Quantitative Ethnography
- Learning Sciences
Collaborations and top research areas from the last five years
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HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems
Li, Y., Stuckey, P., Gasevic, D., Gutierrez, J., Qu, L., Rezatofighi, H., Garcia De La Banda Garcia, M., Ignatiev , A., Swiecki, Z., Vered, M., Chen, G. & Haffari, R.
20/06/23 → 20/02/27
Project: Research
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Large-scale multimodal knowledge management: From organization and user modeling to fast contextual presentation
Gasevic, D., Swiecki, Z., Li, Y., Haffari, R., Hayat, M., Chen, G., Tsai, Y., Do, T., Zhuang, B. & Wang, T.
2/09/22 → 1/09/25
Project: Research
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CELLA 2 CERES: CELLA 2 CERES: Connecting the Center for Learning and Living with Artificial Intelligence to CERES
Järvelä, S., Molenaar, I., Bannert, M., Gasevic, D., Azevedo, R., Martinez-Maldonado, R., Tsai, Y., Swiecki, Z. & Chen, G.
17/12/21 → 31/12/26
Project: Research
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Leading Virtual Learning Teacher Course
Phillips, M., Henderson, M. & Swiecki, Z.
22/06/20 → 30/06/23
Project: Research
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Analytics of self-regulated learning scaffolding: effects on learning processes
Li, T., Fan, Y., Tan, Y., Wang, Y., Singh, S., Li, X., Raković, M., van der Graaf, J., Lim, L., Yang, B., Molenaar, I., Bannert, M., Moore, J., Swiecki, Z., Tsai, Y. S., Shaffer, D. W. & Gašević, D., 2023, In: Frontiers in Psychology. 14, 18 p., 1206696.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
METS: Multimodal learning analytics of embodied teamwork learning
Zhao, L., Swiecki, Z., Gasevic, D., Yan, L., Dix, S., Jaggard, H., Wotherspoon, R., Osborne, A., Li, X., Alfredo, R. & Martinez-Maldonado, R., 2023, LAK 2023 Conference Proceedings - Towards Trustworthy Learning Analytics - The Thirteenth International Conference on Learning Analytics & Knowledge. Hilliger, I., Khosravi, H., Rienties, B. & Dawson, S. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 186-196 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
"That Student Should be a Lion Tamer!" StressViz: Designing a stress analytics dashboard for teachers
Alfredo, R. D., Nie, L., Kennedy, P., Power, T., Hayes, C., Chen, H., McGregor, C., Swiecki, Z., Gaševic, D. & Martinez-Maldonado, R., 2023, LAK 2023 Conference Proceedings - Towards Trustworthy Learning Analytics - 13th International Conference on Learning Analytics and Knowledge. Hilliger, I., Khosravi, H., Rienties, B. & Dawson, S. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 57-67 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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The role of data simulation in quantitative ethnography
Swiecki, Z. & Eagan, B., 2023, Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022 Copenhagen, Denmark, October 15–19, 2022 Proceedings. Damşa, C. & Barany, A. (eds.). Cham Switzerland: Springer, p. 87-100 14 p. (Communications in Computer and Information Science; vol. 1785).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Assessment in the age of artificial intelligence
Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N. & Gašević, D., 2022, In: Computers and Education: Artificial Intelligence. 3, 10 p., 100075.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile35 Citations (Scopus)