Andrew Zamecnik

Dr Andrew Zamecnik

Research Fellow

Centre for Change and Complexity in Learning

College of Education, Behavioural and Social Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

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 Scopus1 WoS1
2026 Zamecnik, A., Febriantoro, W., Cukurova, M., Joksimović, S., Grossmann, G., & Siemens, G. (2026). Linking AI agent architectures to trust antecedents in human-autonomous teams: a scoping review. Artificial Intelligence Review, 59(8), 34 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 Scopus36 WoS26
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 Scopus2 WoS4
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 Scopus20 WoS15
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
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 Scopus7 WoS6
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 Scopus21 WoS16
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 Scopus31 WoS22
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 Scopus51
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
2026 Li, J., Graf, L., Zamecnik, A., Azad, A., Joksimovic, S., & Poquet, O. (2026). How Do Students Listen to Each Other When Solving Complex Problems?. In 16th International Learning Analytics and Knowledge Conference Lak 2026 (pp. 578-588). ACM.
DOI
2026 Nixon, N., Meyer, J., Joksimovic, S., Zamecnik, A., Samadi, M. A., Choi, J., . . . de Bastos, P. M. (2026). 2nd Annual Workshop on Human-AI Teaming: From Tools to Teammates II: Designing AI That Belongs. In Communications in Computer and Information Science Vol. 3033 CCIS (pp. 124-129). Springer Nature Switzerland.
DOI
2025 Nixon, N., Joksimovic, S., Zamecnik, A., Samadi, M. A., Choi, J., Park, S., . . . Blanchard, E. G. (2025). Human-AI Collaboration and Culture For Equity and Inclusion (Half-Day Workshop). In A. I. Cristea, E. Walker, Y. Lu, O. C. Santos, & S. Isotani (Eds.), Communications in Computer and Information Science Vol. 2592 CCIS (pp. 241-248). ITALY, Palermo: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus1
2024 Barthakur, A., Jovanovic, J., Zamecnik, A., Kovanovic, V., Xu, G., & Dawson, S. (2024). Towards Comprehensive Monitoring of Graduate Attribute Development: A Learning Analytics Approach in Higher Education. In ACM International Conference Proceeding Series (pp. 78-89). US: ASSOC COMPUTING MACHINERY.
DOI Scopus10 WoS6
2023 Zamecnik, A., Joksimovic, S., Kovanovic, V., Grossmann, G., Ladjal, D., & Pardo, A. (2023). Exploring the Feedback Provision of Mentors and Clients for Teams in Work-Integrated Learning Environments. In ACM International Conference Proceeding Series (pp. 566-571). US: ACM.
DOI
2020 Duff, A., Zamecnik, A., Pardo, A., & Smith, E. (2020). The SEIRA approach: Course embedded activities to promote academic integrity and literacies in first year engineering. In LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (pp. 218-223). Germany: ASSOC COMPUTING MACHINERY.
DOI Scopus2

Year Citation
- Ebbert, D., Zamecnik, A., Wilson, N., Joksimovic, S., Dawson, S., & Mirriahi, N. (n.d.). Task-Related Interference During Educational Activities: A Meta-Analysis of Its Occurrence and Relationship with Learning.
DOI

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

Courses I teach

  • EDUC 5243 Introduction to Digital Learning (2024)

Date Role Research Topic Program Degree Type Student Load Student Name
2024 Co-Supervisor The Role of VR and AI-Enhanced Learning in Developing Critical Thinking and Creativity in Secondary Students' Writing Doctor of Philosophy Doctorate Part Time Mrs Shai Coggins

Date Role Research Topic Program Degree Type Student Load Student Name
2023 - 2025 Co-Supervisor Unobtrusive approaches to assess co-located collaboration in authentic classrooms using audio data Doctor of Philosophy Doctorate Full Time Mr Arslan Azad

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