Andrew Zamecnik

Dr Andrew Zamecnik

Research Fellow

School of Education

College of Education, Behavioural and Social Sciences

Dr Andrew Zamecnik is working as a Research Fellow for the Centre for Change and Complexity in Learning (C3L) with the recent completion of a PhD in Learning Analytics. His PhD focused on applying learning analytics methodologies to understand, evaluate and support team cohesion in technology-mediated environments. He has previous experience working on data science and information technology projects. As a research fellow and early career researcher at UniSA, Andrew is working towards research that will help foster AI in education, focusing on key aspects such as curriculum analytics, learner profiles and assessments in K-12 and higher education contexts. Andrew is committed to bettering the education of learners across all levels.

Year Citation
2026 Azad, A., Kovanovic, V., Korolkiewicz, M., Zamecnik, A., Joksimovic, S., & Cukurova, M. (2026). An unobtrusive approach to modelling team cohesion and collaboration in ecological classroom settings. Learning and Instruction, 101(102268), 11 pages.
DOI
2025 Marrone, R., Zamecnik, A., Joksimovic, S., Johnson, J., & De Laat, M. (2025). Understanding Student Perceptions of Artificial Intelligence as a Teammate. Technology Knowledge and Learning, 30(3), 1847-1869.
DOI Scopus10 WoS7
2025 Jovanović, J., Zamecnik, A., Barthakur, A., & Dawson, S. (2025). Curriculum analytics: exploring assessment objectives, types, and grades in a study program. Education and Information Technologies, 30(4), 4843-4866.
DOI
2024 Deneen, C., De Laat, M., Claassen, A., & Zamecnik, A. (2024). Towards automated assessment of participation and value creation in networked learning. Proceedings of the International Conference on Networked Learning, 14(1), 1-10.
DOI
2024 Zamecnik, A., Kovanović, V., Joksimović, S., Grossmann, G., Ladjal, D., & Pardo, A. (2024). The perceptions of task cohesion in collaborative learning teams. International Journal of Computer-Supported Collaborative Learning, 19(3), 369-393.
DOI Scopus7 WoS6
2023 Zamecnik, A., Kovanovíc, V., Joksimovíc, S., Grossmann, G., Ladjal, D., Marshall, R., & Pardo, A. (2023). Using online learner trace data to understand the cohesion of teams in higher education. Journal of Computer Assisted Learning, 39(6), 18 pages.
DOI Scopus5 WoS5
2022 Zamecnik, A., Villa-Torrano, C., Kovanović, V., Grossmann, G., Joksimović, S., Dimitriadis, Y., & Pardo, A. (2022). The cohesion of small groups in technology-mediated learning environments: A systematic literature review. Educational Research Review, 35(100427), 1-22.
DOI Scopus15 WoS12
2022 Zamecnik, A., Kovanović, V., Grossmann, G., Joksimović, S., Jolliffe, G., Gibson, D., & Pardo, A. (2022). Team interactions with learning analytics dashboards. Computers and Education, 185(104514), 14 pages.
DOI Scopus28 WoS21
2022 Zamecnik, A., Kovanović, V., Joksimović, S., & Liu, L. (2022). Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study. Computers and Education Artificial Intelligence, 3(100051), 100051.
DOI Scopus46
2021 Barrera Causil, C., Correa, J., Zamecnik, A., Torres Avilés, F., & Marmolejo Ramos, F. (2021). An FDA-based approach for clustering elicited expert knowledge. Stats, 4(1), 184-204.
DOI Scopus2 WoS2

Year Citation
- Joksimovic, S., Dawson, S., Mirriahi, N., Zamecnik, A., Wilson, N., & Ebbert, D. (n.d.). The Mind's Wanderlust: A Meta-Analysis of Mind Wandering, Task-Related Interference, and Learning.
DOI

  • Harnessing the Power of AI in Education, Balancing Data Use, Interventions, and Privacy, Human Systems INC, 15/11/2023 - 16/03/2027

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