Srecko Joksimovic

Research Interests

Artificial Intelligence Learning analytics Learning Sciences Learner and learning Cognition

Teaching Strengths

Research-led evidence-based teaching
Data-informed learning design
Cultivating metacognition and self-regulated learn
Embedding real-world industry projects into the cu
Bridging academic learning and industry practice

Prof Srecko Joksimovic

Professor E

School of Education

College of Education, Behavioural and Social Sciences

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Available For Media Comment.

Prof Srecko Joksimovic is a researcher in learning analytics, learning sciences, and artificial intelligence in education, and Co-Director of the Centre for Change and Complexity in Learning (C3L) at Adelaide University. His research focuses on the design and use of digital technologies and AI to support learning, collaboration, and human development.
 
His recent work places particular emphasis on metacognition and on understanding how learners monitor, regulate, and reflect on their thinking and learning. He is especially interested in how AI can support these processes through meaningful human-AI interaction, personalised learning, and the analysis of complex learning environments.
 
His research draws on multimodal data to investigate learning, collaboration, and group interaction, and contributes to both scholarly knowledge and educational practice. He is active in international research communities, including as co-lead of the EATEL Special Interest Group on Responsible and Equitable AI, and has held leadership and service roles in SoLAR, ASCILITE’s Learning Analytics SIG, and major academic journals and conferences.

Prof Srecko Joksimovic is a researcher in learning analytics, learning sciences, and artificial intelligence in education, and Co-Director of the Centre for Change and Complexity in Learning (C3L) at Adelaide University. His research focuses on the design and use of digital technologies and AI to support learning, collaboration, and human development.

His recent work places particular emphasis on metacognition and on understanding how learners monitor, regulate, and reflect on their thinking and learning. He is especially interested in how AI can support these processes through meaningful human-AI interaction, personalised learning, and the analysis of complex learning environments.

His research draws on multimodal data to investigate learning, collaboration, and group interaction, and contributes to both scholarly knowledge and educational practice. He is active in international research communities, including as co-lead of the EATEL Special Interest Group on Responsible and Equitable AI, and has held leadership and service roles in SoLAR, ASCILITE’s Learning Analytics SIG, and major academic journals and conferences.

Year Citation
2026 Ebbert, D., Mirriahi, N., Wilson, N., Korolkiewicz, M., Fewster-Young, N., Lloyd, A., . . . Dawson, S. (2026). Mind wandering in Video-Based learning: Self-Regulated learning and student responses in a naturalistic setting. Metacognition and Learning, 21(1), 6-1-6-26.
DOI
2026 Thommadurage, W., Pham, P. T. M., Mirriahi, N., Joksimovic, S., & De Laat, M. (2026). Barriers to social learning in online higher education: A systematic review to improve learning design. Review of Education, 14(1), e70144-1-e70144-33.
DOI
2026 Ebbert, D., Mills, C., Winne, P. H., Wilson, N., Mirriahi, N., Joksimovic, S., & Dawson, S. (2026). The (Un)Conscious Learner: How Meta‐Awareness Influences Self‐Regulated Learning and Mitigates Task‐Unrelated Thoughts. Cognitive Science, 50(1), e70164-1-e70164-25.
DOI Scopus1 WoS1
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
2025 Deho, O. B., Bewong, M., Kwashie, S., Li, J., Liu, J., Liu, L., & Joksimovic, S. (2025). Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift. Machine Learning, 114(1), 1-19.
DOI Scopus1 WoS1
2025 Marmolejo Ramos, F., Marrone, R., Korolkiewicz, M., Gabriel, F., Siemens, G., Joksimovic, S., & Tejada, J. (2025). Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment. Frontiers in Artificial Intelligence, 7(1465605.), 1-16.
DOI Scopus18 WoS12
2025 Maranna, S., Claassen, A., Joksimovic, S., Willison, J., Parange, N., & Costabile, M. (2025). Cognitive presence and self-regulated learning: Learning transfer in an online allied health course. Journal of University Teaching and Learning Practice, 22(1), 23 pages.
DOI Scopus1 WoS1
2025 Kovanović, V., Barthakur, A., Joksimović, S., & Siemens, G. (2025). Why universities need to radically rethink exams in the age of AI. Nature, 648(8092), 35-37.
DOI Scopus1 WoS2
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 Scopus29 WoS23
2024 Dzieciatko Szendrei, B., Pantić, N., Joksimović, S., Gašević, D., & Viry, G. (2024). Systematic review of the operational definitions and indicators of teacher communities. Educational Research Review, 45(100640), 1-15.
DOI Scopus3 WoS2
2024 Maranna, S., Joksimovic, S., Willison, J., MacDougall, M., Parange, N., & Costabile, M. (2024). Student perspectives on learning transfer from online postgraduate sonography courses to traineeships: A pilot survey. Sonography, 12(1), 13-24.
DOI
2024 Zhan, C., Joksimovi'c, S., Ladjal, D., Rakotoarivelo, T., Marshall, R., & Pardo, A. (2024). Preserving Both Privacy and Utility in Learning Analytics. IEEE Transactions on Learning Technologies, 17, 1655-1667.
DOI Scopus12 WoS8
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 Scopus18 WoS15
2024 Deho, O. B., Liu, L., Li, J., Liu, J., Zhan, C., & Joksimovic, S. (2024). When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. IEEE Transactions on Learning Technologies, 17, 1007-1020.
DOI Scopus9 WoS4
2024 Ebbert, D., Claassen, A., Wilson, N., Joksimovic, S., Mirriahi, N., & Dawson, S. (2024). Tackling mind wandering in video learning environments. Pacific Journal of Technology Enhanced Learning, 6(1), 1-2.
DOI
2023 Deho, O. B., Joksimovic, S., Li, J., Zhan, C., Liu, J., & Liu, L. (2023). Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why. IEEE Transactions on Learning Technologies, 16(4), 560-572.
DOI Scopus20 WoS16
2023 Marmolejo‐Ramos, F., Tejo, M., Brabec, M., Kuzilek, J., Joksimovic, S., Kovanovic, V., . . . Ospina, R. (2023). Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. WIREs Data Mining and Knowledge Discovery, 13(1, article no. e1479), 1-22.
DOI Scopus25 WoS21 Europe PMC6
2023 Zhan, C., Deho, O. B., Zhang, X., Joksimovic, S., & de Laat, M. (2023). Synthetic data generator for student data serving learning analytics: a comparative study. Learning Letters, 1(5), 1-15.
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
2023 Zhan, C., Blessed Deho, O., Zhang, X., Joksimović, S., & de Laat, M. (2023). Synthetic data generator for student data serving learning analytics: A comparative study. Journal of Learning Letters.
DOI
2023 Choi, H., Jovanovic, J., Poquet, O., Brooks, C., Joksimović, S., & Williams, J. J. (2023). The benefit of reflection prompts for encouraging learning with hints in an online programming course. Internet and Higher Education, 58(100903), 1-10.
DOI Scopus21 WoS16
2023 Joksimovic, S., Ifenthaler, D., Marrone, R., De Laat, M., & Siemens, G. (2023). Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a scoping review. Computers and Education Artificial Intelligence, 4(100138), 1-12.
DOI Scopus147 WoS91
2023 Juhaňák, L., Joksimović, S., & Ifenthaler, D. (2023). Learning analytics to study and support self-regulated learning. Studia Paedagogica, 28(3), 5-8.
2023 Dawson, S., Joksimovic, S., Mills, C., Gašević, D., & Siemens, G. (2023). Advancing theory in the age of artificial intelligence. British Journal of Educational Technology, 54(5), 1051-1056.
DOI Scopus20 WoS17
2022 Pantic, N., Galey, S., Florian, L., Joksimovic, S., Viry, G., Gasevic, D., . . . Kyritsi, K. (2022). Making sense of teacher agency for change with social and epistemic network analysis. Journal of Educational Change, 23(2), 145-177.
DOI Scopus62 WoS46
2022 McKay, J., Barthakur, A., & Joksimovic, S. (2022). Self-reflection on presentation skills and on the law in environmental law teaching: an Australian example. IUCN AEL Journal of Environmental Law, (12), 123-138.
2022 Maranna, S., Willison, J., Joksimovic, S., Parange, N., & Costabile, M. (2022). Factors that influence cognitive presence: A scoping review. Australasian Journal of Educational Technology, 38(4), 95-111.
DOI Scopus21 WoS16
2022 Siemens, G., Marmolejo Ramos, F., Gabriel, F., Medeiros, K., Marrone, R., Joksimovic, S., & de Laat, M. (2022). Human and artificial cognition. Computers and Education: Artificial Intelligence, 3(100107), 1-9.
DOI Scopus127
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 Scopus19 WoS16
2022 Barthakur, A., Kovanovic, V., Joksimovic, S., Zhang, Z., Richey, M., & Pardo, A. (2022). Measuring leadership development in workplace learning using automated assessments: Learning analytics and measurement theory approach. British Journal of Educational Technology, 53(6), 1842-1863.
DOI Scopus20 WoS13
2022 Barthakur, A., Joksimovic, S., Kovanovic, V., Mello, R. F., Taylor, M., Richey, M., & Pardo, A. (2022). Understanding Depth of Reflective Writing in Workplace Learning Assessments Using Machine Learning Classification. IEEE Transactions on Learning Technologies, 15(5), 567-578.
DOI Scopus17 WoS11
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 Barthakur, A., Joksimovic, S., Kovanovic, V., Corbett, F. C., Richey, M., & Pardo, A. (2022). Assessing the sequencing of learning objectives in a study program using evidence-based practice. Assessment and Evaluation in Higher Education, 47(8), 1429-1443.
DOI Scopus9 WoS7
2022 Barthakur, A., Joksimovic, S., Kovanovic, V., Richey, M., & Pardo, A. (2022). Aligning objectives with assessment in online courses: Integrating learning analytics and measurement theory. Computers and Education, 190(104603), 16 pages.
DOI Scopus19 WoS11
2022 Ladjal, D., Joksimović, S., Rakotoarivelo, T., & Zhan, C. (2022). Technological frameworks on ethical and trustworthy learning analytics. British Journal of Educational Technology, 53(4), 733-736.
DOI Scopus9 WoS7
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 Ruipérez-Valiente, J. A., Jaramillo-Morillo, D., Joksimović, S., Kovanović, V., Muñoz-Merino, P. J., & Gašević, D. (2021). Data-driven detection and characterization of communities of accounts collaborating in MOOCs. Future Generation Computer Systems, 125, 590-603.
DOI Scopus20 WoS15
2021 Barthakur, A., Kovanovic, V., Joksimovic, S., Siemens, G., Richey, M., & Dawson, S. (2021). Assessing program-level learning strategies in MOOCs. Computers in Human Behavior, 117(106674), 13 pages.
DOI Scopus42 WoS36
2021 Fincham, E., Rozemberczki, B., Kovanovic, V., Joksimovic, S., Jovanovic, J., & Gasevic, D. (2021). Persistence and Performance in Co-Enrollment Network Embeddings: An Empirical Validation of Tinto's Student Integration Model. IEEE Transactions on Learning Technologies, 14(1), 106-121.
DOI Scopus12 WoS8
2021 Jovanović, J., Saqr, M., Joksimović, S., & Gašević, D. (2021). Students matter the most in learning analytics: the effects of internal and instructional conditions in predicting academic success. Computers and Education, 172, 1-13.
DOI Scopus111 WoS73
2020 de Laat, M., Joksimovic, S., & Ifenthaler, D. (2020). Artificial intelligence, real-time feedback and workplace learning analytics to support in situ complex problem-solving: a commentary. International Journal of Information and Learning Technology, 37(5), 267-277.
DOI Scopus48 WoS28
2020 Joksimovic, S., Jovanovic, J., Kovanovic, V., Gasevic, D., Milikic, N., Zouaq, A., & Van Staalduinen, J. P. (2020). Comprehensive Analysis of Discussion Forum Participation: From Speech Acts to Discussion Dynamics and Course Outcomes. IEEE Transactions on Learning Technologies, 13(1), 38-51.
DOI Scopus21 WoS17
2020 Lim, L. A., Dawson, S., Gaševic, D., Joksimović, S., Fudge, A., Pardo, A., & Gentili, S. (2020). Students’ sense-making of personalised feedback based on learning analytics. Australasian Journal of Educational Technology, 36(6), 15-33.
DOI Scopus62 WoS43
2020 Lim, L. A., Dawson, S., Gašević, D., Joksimović, S., Pardo, A., Fudge, A., & Gentili, S. (2020). Students’ perceptions of, and emotional responses to, personalised learning analytics-based feedback: an exploratory study of four courses. Assessment and Evaluation in Higher Education, 46(3), 1-21.
DOI Scopus88 WoS90
2020 Marmolejo-Ramos, F., Tejo, M., Brabec, M., Kuzilek, J., Joksimovic, S., Kovanović, V., . . . Ospina, R. (2020). Distributional regression analysis of learning analytics and educational data.
DOI
2020 Joksimovic, S., Siemens, G., Wang, Y., San Pedro, M. O. Z., & Way, J. (2020). Editorial: Beyond cognitive ability. Journal of Learning Analytics, 7(1), 1-4.
DOI Scopus21 WoS19
2019 Kovanović, V., Joksimović, S., Poquet, O., Hennis, T., de Vries, P., Hatala, M., . . . Gašević, D. (2019). Examining communities of inquiry in Massive Open Online Courses: The role of study strategies. Internet and Higher Education, 40, 20-43.
DOI Scopus81 WoS69
2019 Joksimović, S., Dowell, N., Gasevic, D., Mirriahi, N., Dawson, S., & Graesser, A. C. (2019). Linguistic characteristics of reflective states in video annotations under different instructional conditions. Computers in human behavior, 96, 211-222.
DOI Scopus21 WoS18
2019 Gašević, D., Joksimović, S., Eagan, B. R., & Shaffer, D. W. (2019). SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Computers in human behavior, 92, 562-577.
DOI Scopus207 WoS170
2019 Joksimovic, S., Kovanovic, V., & Dawson, S. (2019). The journey of learning analytics. HERDSA Review of Higher Education, 6, 37-63.
2018 Mirriahi, N., Joksimović, S., Gašević, D., & Dawson, S. (2018). Effects of instructional conditions and experience on student reflection: a video annotation study. Higher education research and development, 37(6), 1245-1259.
DOI Scopus27 WoS24
2018 Poquet, O., Kovanović, V., de Vries, P., Hennis, T., Joksimović, S., Gašević, D., & Dawson, S. (2018). Social presence in massive open online courses. International Review of Research in Open and Distributed Learning, 19(3), 43-68.
DOI Scopus66 WoS55
2018 Kovanović, V., Joksimović, S., Poquet, O., Hennis, T., Čukić, I., de Vries, P., . . . Gašević, D. (2018). Exploring communities of inquiry in Massive Open Online Courses. Computers and Education, 119, 44-58.
DOI Scopus82 WoS76
2018 Joksimović, S., Dowell, N., Poquet, O., Kovanović, V., Gašević, D., Dawson, S., & Graesser, A. C. (2018). Exploring development of social capital in a CMOOC through language and discourse. Internet and Higher Education, 36, 54-64.
DOI Scopus48 WoS40
2018 Joksimović, S., Poquet, O., Kovanović, V., Dowell, N., Mills, C., Gašević, D., . . . Brooks, C. (2018). How do we model learning at scale? A systematic review of research on moocs. Review of Educational Research, 88(1), 43-86.
DOI Scopus153 WoS125
2018 Crosslin, M., Dellinger, J. T., Joksimović, S., Kovanović, V., & Gašević, D. (2018). Customizable modalities for individualized learning: Examining patterns of engagement in dual-layer MOOCS. Online Learning Journal, 22(1), 19-38.
DOI Scopus10 WoS4
2017 Slater, S., Joksimovic, S., Kovanovic, V., Baker, R. S., & Gasevic, D. (2017). Tools for educational data mining: a review. Journal of educational and behavioral statistics, 42(1), 85-106.
DOI Scopus184 WoS116
2017 Gasevic, D., Kovanovic, V., & Joksimovic, S. (2017). Piecing the learning analytics puzzle: a consolidated model of a field of research and practice. Learning: research and practice, 3(1), 63-78.
DOI Scopus121
2017 Gašević, D., Mirriahi, N., Dawson, S., & Joksimović, S. (2017). Effects of instructional conditions and experience on the adoption of a learning tool. Computers in human behavior, 67, 207-220.
DOI Scopus48 WoS37
2015 Kovanović, V., Gašević, D., Joksimović, S., Hatala, M., & Adesope, O. (2015). Analytics of communities of inquiry: effects of learning technology use on cognitive presence in asynchronous online discussions. Internet and higher education, 27, 74-89.
DOI Scopus184 WoS148
2015 Joksimović, S., Gašević, D., Kovanović, V., Riecke, B. E., & Hatala, M. (2015). Social presence in online discussions as a process predictor of academic performance. Journal of computer assisted learning, 31(6), 638-654.
DOI Scopus247 WoS177
2015 Joksimović, S., Gašević, D., Loughin, T. M., Kovanović, V., & Hatala, M. (2015). Learning at distance: effects of interaction traces on academic achievement. Computers and education, 87, 204-217.
DOI Scopus142 WoS109
2015 Skrypnyk, O., Joksimović, S., Kovanović, V., Gasšević, D., & Dawson, S. (2015). Roles of course facilitators, learners, and technology in the flow of information of a CMOOC. International Review of Research in Open and Distributed Learning, 16(3), 188-217.
DOI Scopus55 WoS39
2015 Gašević, D., Adesope, O., Joksimović, S., & Kovanović, V. (2015). Externally-facilitated regulation scaffolding and role assignment to develop cognitive presence in asynchronous online discussions. Internet and higher education, 24, 53-65.
DOI Scopus155 WoS126
2015 Kovanovic, V., Joksimovic, S., Gaševic, D., Siemens, G., & Hatala, M. (2015). What public media reveals about MOOCs: a systematic analysis of news reports. British journal of educational technology, 46(3), 510-527.
DOI Scopus98 WoS79
2015 Kovanović, V., Gasevic, D., Dawson, S., Joksimovic, S., Baker, R. S., & Hatala, M. (2015). Does time-on-task estimation matter? Implications on validity of learning analytics findings. Journal of learning analytics, 2(3), 81-110.
DOI
2014 Joksimovic, S., Gasevic, D., Kovanovic, V., Adesope, O., & Hatala, M. (2014). Psychological characteristics in cognitive presence of communities of inquiry: a linguistic analysis of online discussions. Internet and higher education, 22, 1-10.
DOI Scopus70 WoS55
2014 Gašević, D., Kovanović, V., Joksimović, S., & Siemens, G. (2014). Where is research on massive open online courses headed? A data analysis of the MOOC research initiative. International Review of Research in Open and Distance Learning, 15(5), 134-176.
DOI Scopus247 WoS55
2014 Joksimovic, S., Hatala, M., & Gasevic, D. (2014). Learning analytics for networked learning models. Journal of learning analytics, 1(3), 191-194.
DOI
- 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.
DOI
- Thommadurage, W. M., Le, N. N. A., Mirriahi, N., Joksimovic, S., & De Laat, M. (2026). LLM-based Teamwork Role Inferencing for Fostering Social Online Learning. Proceedings of the International Conference on Networked Learning, 15.
DOI

Year Citation
2026 Jin, F. J. -Y., Zhao, L., Barthakur, A., Baker, R., Dawson, S., & Joksimovic, S. (2026). Characterising Student Behaviours with AI-Generated Feedback in Higher Education. In Communications in Computer and Information Science (pp. 545-550). Springer Nature Switzerland.
DOI
2025 Maranna, S., Joksimovic, S., Willison, J., Parange, N., & Costabile, M. (2025). The practical messiness of integrating learning transfer in an online allied health curriculum: a conceptual analysis. In M. A. Doolan, & L. Ritchie (Eds.), Source details - Title: Transforming Teaching Excellence: Future Proofing Education for All. UK: IFNTF Publishing.
2025 Deho, O. B., Joksimovic, S., Vieira, M., & Baker, R. (2025). Beyond Predictive Accuracy: Fairness and Bias in Predicting Test Anxiety. In A. I. Cristea (Ed.), Event/exhibition information: 26th International Conference, AIED 2025, Italy, 22/07/2025-26/07/2025
Source details - Title: Artificial Intelligence in Education (Vol. 15878 LNAI, pp. 247-262). Switzerland: Springer.
DOI
2024 Joksimovic, S., Marrone, R., & Vieira, M. (2024). Experiential learning for the betterment of education. In A. Pepe (Ed.), Source details - Title: Beyond Broken: Different Systems for Different Futures (pp. 224-231). Australia: (MOD) University of South Australia.
2024 Ebbert, D., Claassen, A., Wilson, N., Joksimovic, S., Mirriahi, N., & Dawson, S. (2024). Addressing mind wandering in video-based learning: a comparative study on the impact of interpolated testing and self-explanation. In R. F. Mello, N. Rummel, I. Jivet, G. Pishtari, & J. A. R. Valiente (Eds.), Event/exhibition information: 19th European Conference on Technology Enhanced Learning, Krems, Austria, 16/09/2024-20/09/2024
Source details - Title: Technology Enhanced Learning for Inclusive and Equitable Quality Education (Vol. 15159 LNCS, pp. 120-1344). Switzerland: Springer.
DOI Scopus2 WoS1
2023 Barthakur, A., Kovanovic, V., Joksimovic, S., & Pardo, A. (2023). Challenges in Assessments of Soft Skills: Towards Unobtrusive Approaches to Measuring Student Success. In V. Kovanovic, R. Azevedo, D. C. Gibson, & D. Ifenthaler (Eds.), Unobtrusive Observations of Learning in Digital Environments: Examining Behavior, Cognition, Emotion, Metacognition and Social Processes Using Learning Analytics (pp. 53-71). Switzerland: Springer International Publishing.
DOI
2023 Maranna, S., Willison, J., Joksimovic, S., Parange, N., & Costabile, M. (2023). Strategies for building sustainable and meaningful online learning communities in higher education. In M. Doolan, & L. Ritchie (Eds.), Event/exhibition information: IFNTF Symposathon, online, 19/09/2022-20/09/2022
Source details - Title: Reshaping Teaching Excellence: Pandemic and the New Now (pp. 45-60). UK: IFNTF Publishing.
2023 Medeiros, K. E., Marrone, R. L., Joksimovic, S., Cropley, D. H., & Siemens, G. (2023). Promises and realities of artificial creativity. In R. Reiter-Palmon, & S. Hunter (Eds.), Source details - Title: Handbook of Organizational Creativity: Leadership, Interventions, and Macro Level Issues (2nd ed., pp. 275-289). San Diego: Academic Press.
DOI Scopus11
2022 Joksimovic, S., Dawson, S., Barthakur, A., Poquet, O., Wang, Y. E., Marmolejo Ramos, F., & Siemens, G. (2022). Mapping the landscape of social and emotional learning analytics. In Y. Wang (Ed.), Source details - Title: Social and Emotional Learning and Complex Skills Assessment. Advances in Analytics for Learning and Teaching (pp. 27-47). Switzerland: Springer.
DOI
2021 Joksimović, S., Marshall, R., Rakotoarivelo, T., Ladjal, D., Zhan, C., & Pardo, A. (2021). Privacy-Driven Learning Analytics. In E. McKay (Ed.), Manage Your Own Learning Analytics: Implement a Rasch Modelling Approach (Vol. 261, pp. 1-22). Switzerland: Springer International Publishing.
DOI Scopus14
2017 Kovanovic, V., Joksimović, S., Gasevic, D., Hatala, M., & Siemens, G. (2017). Content analytics: the definition, scope, and an overview of published research. In C. Lang (Ed.), Source details - Title: Handbook of learning analytics (pp. 77-92). Canada: Society for Learning Analytics Research.
DOI
2015 Skrypnyk, O., Joksimović, S., Kovanović, V., Dawson, S., Gašević, D., & Siemens, G. (2015). The history and state of blended learning. In G. Siemens, D. Gašević, & S. Dawson (Eds.), Source details - Title: Preparing for the digital university: a review of the history and current state of distance, blended, and online learning (pp. 55-91). US: University of Texas at Arlington.
2015 Joksimović, S., Kovanović, V., Skrypnyk, O., Gašević, D., Dawson, S., & Siemens, G. (2015). The history and state of online learning. In G. Siemens, D. Gašević, & S. Dawson (Eds.), Source details - Title: Preparing for the digital university: a review of the history and current state of distance, blended, and online learning (pp. 93-131). US: University of Texas at Arlington.
2015 Kovanović, V., Joksimović, S., Skrypnyk, O., Gašević, D., Dawson, S., & Siemens, G. (2015). The history and state of distance education. In G. Siemens, D. Gašević, & S. Dawson (Eds.), Source details - Title: Preparing for the digital university: a review of the history and current state of distance, blended, and online learning (pp. 9-54). US: University of Texas at Arlington.

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 Wimukthi, T., Nguyen, N. A. L., Mirriahi, N., Joksimovic, S., & De Laat, M. (2026). LLM-based Teamwork Role Inferencing for Fostering Social Online Learning. In Proceedings of the Fifteenth International Conference on Networked Learning Vol. 15 (pp. 1-10). Denmark: Aalborg University Open Publishing.
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
2025 Liu, Q., Deho, O., Vadiee, F., Khalil, M., Joksimovic, S., & Siemens, G. (2025). Can synthetic data be fair and private? A comparative study of synthetic data generation and fairness algorithms. In LAK '25: Proceedings of the 15th International Learning Analytics and Knowledge Conference (pp. 591-600). US: ACM.
DOI Scopus17 WoS7
2024 Poquet, O., Joksimovic, S., & Brams, P. (2024). The role of gender in citation practices of learning analytics research. In ACM International Conference Proceeding Series (pp. 807-813). US: ACM.
DOI Scopus1 WoS1
2024 Taylor, M., Barthakur, A., Azad, A., Joksimovic, S., Zhang, X., & Siemens, G. (2024). Quantifying collaborative complex problem solving in classrooms using learning analytics. In ACM International Conference Proceeding Series (pp. 551-562). US: ACM.
DOI Scopus6 WoS1
2023 Li, L., Sha, L., Li, Y., Rakovic, M., Rong, J., Joksimovic, S., . . . Chen, G. (2023). Moral machines or tyranny of the majority? A systematic review on predictive bias in education. In ACM International Conference Proceeding Series (pp. 499-508). US: Association for Computing Machinery.
DOI Scopus30 WoS11
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
2023 Deho, O. B., Joksimovic, S., Liu, L., Li, J., Zhan, C., & Liu, J. (2023). Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution. In Proceedings of the 10th ACM Conference on Learning @ Scale (L@S 2023) (pp. 48-58). New York, NY, USA: Association for Computing Machinery (ACM).
DOI Scopus9 WoS8
2022 Deho, O. B., Liu, L., Joksimovic, S., Li, J., Zhan, C., & Liu, J. (2022). Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models. In ACM International Conference Proceeding Series (pp. 32-38). US: Association for Computing Machinery.
DOI Scopus5 WoS3
2022 Iqbal, S., Swiecki, Z., Joksimovic, S., Ferreira Mello, R., Aljohani, N., & Ul Hassan, S. (2022). Uncovering associations between cognitive presence and speech acts: a network-based approach. In ACM International Conference Proceeding Series (pp. 315-325). US: Association for Computing Machinery.
DOI Scopus8 WoS6
2020 Jovanovic, J., Dawson, S., Joksimović, S., & Siemens, G. (2020). Supporting actionable intelligence: reframing the analysis of observed study strategies. In Proceedings of the 10th International Conference on Learning Analytics and Knowledge: Shaping the Future of the Field, LAK 2020 (pp. 161-170). US: Association for Computing Machinery.
DOI Scopus27 WoS21
2019 Dawson, S., Joksimovic, S., Poquet, O., & Siemens, G. (2019). Increasing the impact of learning analytics. In ACM International Conference Proceeding Series (pp. 446-455). US: Association for Computing Machinery.
DOI Scopus125 WoS91
2019 Lim, L., Joksimovic, S., Dawson, S., & Gasevic, D. (2019). Exploring students' sensemaking of learning analytics dashboards: Does frame of reference make a difference?. In ACM International Conference Proceeding Series (pp. 250-259). US: Association for Computing Machinery.
DOI Scopus49 WoS42
2019 Joksimovic, S., Baker, R. S., Ocumpaugh, J., Andres, J. M. L., Tot, I., Wang, E. Y., & Dawson, S. (2019). Automated Identification of Verbally Abusive Behaviors in Online Discussions. In THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE (pp. 36-45). ITALY, Florence: ASSOC COMPUTATIONAL LINGUISTICS-ACL.
DOI WoS8
2019 Fincham, E., Joksimović, S., Alexander., Van Staalduinen, J. P., Kovanović, V., & Gašević, D. (2019). Counting clicks is not enough: Validating a theorized model of engagement in learning analytics. In D. Azcona, & R. Chung (Eds.), ACM International Conference Proceeding Series (pp. 501-510). US: ASSOC COMPUTING MACHINERY.
DOI Scopus57 WoS47
2018 Pogorskiy, E., Beckmann, J. F., Joksimovic, S., Kovanovic, V., & West, R. (2018). Utilising a Virtual Learning Assistant as a Measurement and Intervention Tool for Self-Regulation in Learning. In M. J. W. Lee, S. Nikolic, J. Shen, L. C. U. Lei, G. K. W. Wong, & N. Venkatarayalu (Eds.), Proceedings of 2018 IEEE International Conference on Teaching Assessment and Learning for Engineering Tale 2018 (pp. 846-849). US: IEEE.
DOI Scopus7 WoS7
2018 Kovanović, V., Joksimović, S., Mirriahi, N., Blaine, E., Gašević, D., Siemens, G., & Dawson, S. (2018). Understand students’ self-Reflections through learning analytics. In ACM International Conference Proceeding Series (pp. 389-398). Australia: ASSOC COMPUTING MACHINERY.
DOI Scopus87 WoS62
2018 Van Sebille, Y., Joksimovic, S., Kovanovic, V., Stansborough, R., & Dawson, S. (2018). Extending video interactions to support self-regulated learning in an online course. In ASCILITE 2018 - Conference Proceedings - 35th International Conference of Innovation, Practice and Research in the use of Educational Technologies in Tertiary Education: Open Oceans: Learning Without Borders (pp. 262-272). Australia: ASCILITE.
Scopus4
2018 James, N., Kovanovic, V., Marshall, R., Joksimovic, S., & Pardo, A. (2018). Examining the value of learning analytics for supporting work-integrated learning. In J. Smith, K. Robinson, & M. Campbell (Eds.), Australian Collaborative Education Network: 2018 National Conference Proceedings (pp. 55-61). Australia: Australian Collaborative Education Network(ACEN) Limited..
2018 Andres, J. M. L., Baker, R. S., Gašević, D., Siemens, G., Crossley, S. A., & Joksimović, S. (2018). Studying MOOC completion at scale using the MOOC replication framework. In LAK 2018 Proceedings of the 8th International conference on learning analytics and knowledge (pp. 71-78). US: ACM Press.
DOI Scopus32 WoS23
2017 Dowell, N. M. M., Brooks, C., Kovanovic, V., Joksimović, S., & Gašević, D. (2017). The changing patterns of MOOC discourse. In L@S '17 Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale (pp. 283-286). US: ACM.
DOI Scopus22 WoS16
2017 Ruipérez Valiente, J. A., Joksimovic, S., Kovanović, V., Gasevic, D., Muñoz Merino, P. J., & Delgado Kloos, C. (2017). A data-driven method for the detection of close submitters in online learning environments. In WWW '17 Companion Proceedings of the 26th International Conference on World Wide Web Companion (pp. 361-368). Switzerland: World Wide Web Conferences Committee (IW3C2).
DOI Scopus19 WoS16
2017 Kovanović, V., Hennis, T., Joksimović, S., Dawson, S., Poquet, O., & Gašević, D. (2017). Understanding the relationship between technology use and cognitive presence in MOOCs. In ACM International Conference Proceeding Series (pp. 582-583). United States: ASSOC COMPUTING MACHINERY.
DOI Scopus11 WoS9
2017 Kovanović, V., Joksimović, S., Gašević, D., & Siemens, G. (2017). Digital learning design framework for social learning spaces. In Y. Bergner (Ed.), CEUR Workshop Proceedings Vol. 1915 (pp. 1-4). Germany: Ruzica Piskac.
Scopus1
2017 Kovanović, V., Joksimović, S., Katerinopoulos, P., Michail, C., Siemens, G., & Gašević, D. (2017). Developing a MOOC experimentation platform: insights from a user study. In Proceedings of the 7th International Conference On Learning Analytics & Knowledge (LAK'17) (pp. 1-5). US: Association for Computing Machinery.
DOI Scopus3 WoS3
2016 Kovanovíc, V., Joksimovíc, S., Waters, Z., Gaševíc, D., Kitto, K., Hatala, M., & Siemens, G. (2016). Towards automated content analysis of discussion transcripts: a cognitive presence case. In Proceedings of the 6th International Conference On Learning Analytics & Knowledge (LAK'16) Vol. 25-29-April-2016 (pp. 15-24). US: Association for Computing Machinery.
DOI Scopus114 WoS86
2016 Kovanović, V., Owers, J., Joksimović, S., Scott, A. M., Gašević, D., & Woodgate, A. (2016). Profiling MOOC course returners: how does student behavior change between two course enrollments?. In Proceedings of the 3rd 2016 ACM Conference on learning at scale - L@S 2016 (pp. 269-272). US: Association for Computing Machinery.
DOI Scopus37 WoS30
2016 Joksimović, S., Manataki, A., Gašević, D., Dawson, S., Kovanović, V., & De Kereki, I. F. (2016). Translating network position into performance: importance of centrality in different network configurations. In Proceedings of the 6th International Conference On Learning Analytics & Knowledge (LAK'16) Vol. 25-29-April-2016 (pp. 314-323). US: Association for Computing Machinery.
DOI Scopus83 WoS80
2016 Beheshitha, S. S., Hatala, M., Gaševic, D., & Joksimovic, S. (2016). The role of achievement goal orientations when studying effect of learning analytics visualizations. In ACM International Conference Proceeding Series Vol. 25-29-April-2016 (pp. 54-63). US: Association for Computing Machinery.
DOI Scopus60 WoS50
2016 Kovanović, V., Gašević, D., Joksimović, S., Siemens, G., & Hatala, M. (2016). MOOCs in the news: a European perspective. In D. Jansen, & L. Konings (Eds.), MOOCs in Europe: overview of papers representing a collective European response on MOOCs as presented during the HOME conference in Rome November 2015 (pp. 36-47). Netherlands: EADTU.
2015 Dawson, S., Joksimović, S., Kovanović, V., Gašević, D., & Siemens, G. (2015). Recognising learner autonomy: lessons and reflections from a joint x/c MOOC. In T. Thomas (Ed.), Research and Development in Higher Education: Learning for life and work in a complex world Vol. 38 (pp. 117-129). Australia: HERDSA.
2015 Dowell, N. M., Skrypnyk, O., Joksimovic, S., Graesser, A. C., Dawson, S., Gašević, D., . . . Kovanovic, V. (2015). Modeling learners' social centrality and performance through language and discourse. In O. C. Santos (Ed.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 250-257). US: International Educational Data Mining Society.
2015 Joksimović, S., Zouaq, A., Kovanović, V., Gašević, D., Jovanović, J., & Hatala, M. (2015). What do cMOOC participants talk about in social media?: a topic analysis of discourse in a cMOOC. In Proceedings of the 5th International Conference On Learning Analytics & Knowledge (LAK'15) Vol. 16-20-March-2015 (pp. 156-165). US: Association for Computing Machinery.
DOI Scopus32
2015 Joksimović, S., Kovanović, V., Dowell, N., Gašević, D., Graesser, A. C., Skrypnyk, O., & Dawson, S. (2015). How do you connect? Analysis of social capital accumulation in connectivist MOOCs. In ACM International Conference Proceeding Series Vol. 16-20-March-2015 (pp. 64-68). US: ACM.
DOI Scopus28
2015 Kovanović, V., Gašević, D., Dawson, S., Joksimović, S., Baker, R. S., & Hatala, M. (2015). Penetrating the black box of time-on-task estimation. In ACM International Conference Proceeding Series Vol. 16-20-March-2015 (pp. 184-193). US: ACM.
DOI Scopus95
2014 Kovanović, V., Joksimović, S., Gasevic, D., & Hatala, M. (2014). What is the source of social capital? The association between social network position and social presence in communities of inquiry. In S. Gutierrez-Santos, & O. C. Santos (Eds.), CEUR Workshop Proceedings Vol. 1183 (pp. 21-28). Germany: CEUR-WS.org.
Scopus25
2014 Kovanović, V., Joksimovic, S., Gasevic, D., & Hatala, M. (2014). Automated cognitive presence detection in online discussion transcripts. In K. Yacef, & H. Drachsler (Eds.), CEUR Workshop Proceedings Vol. 1137 (pp. 1-4). Germany: CEUR-WS.org.
Scopus19
2014 Dawson, S., Gašević, D., Siemens, G., & Joksimovic, S. (2014). Current state and future trends: a citation network analysis of the learning analytics field. In M. Pistilli, J. Willis, & D. Koch (Eds.), LAK '14 Proceedings of the Fourth International Conference on learning analytics and knowledge (pp. 231-240). US: ACM.
DOI Scopus199
2013 Joksimovic, S., Jovanovic, J., Gasevic, D., Zouaq, A., & Jeremic, Z. (2013). An empirical evaluation of ontology-based semantic annotators. In Proceedings of the 7th International conference on knowledge capture: "Knowledge capture in the age of massive web data", K-CAP 2013 (pp. 109-112). US: Association for Computing Machinery.
DOI Scopus7
2013 Zouaq, A., Joksimovic, S., & Gaševic, D. (2013). Ontology learning to analyze research trends in learning analytics publications. In S. Dietze, M. d'Aquin, H. Drachsler, D. Taibi, & E. Herder (Eds.), CEUR Workshop Proceedings Vol. 974 (pp. 1-6). Germany: Ruzica Piskac.
Scopus4

Year Citation
- Ebbert, D., Claassen, A., Wilson, N., Joksimovic, S., Mirriahi, N., & Dawson, S. (n.d.). Addressing Mind Wandering in Video-Based Learning: A Comparative Study on the Impact of Interpolated Testing and Self-Explanation.
DOI
- 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
- Ebbert, D., Mirriahi, N., Wilson, N., Korolkiewicz, M., Fewster-Young, N., Lloyd, A., . . . Dawson, S. (n.d.). Mind Wandering in Video-Based Learning: Self-Regulated Learning and Student Responses in a Naturalistic Setting.
DOI

Year Citation
2026 Ebbert, D., Claassen, A., Wilson, N., Joksimovic, S., Mirriahi, N., & Dawson, S. (2026). Meta-Awareness of Mind Wandering: Examining Effects of Self-Regulated Learning, Interpolated Testing, and Self-Explanation.
DOI
2026 Ebbert, D., Zamecnik, A., Wilson, N., Joksimovic, S., Mirriahi, N., & Dawson, S. (2026). Task-Related Interference During Educational Activities: A Meta-Analysis of Its Occurrence and Relationship with Learning.
DOI
2025 Ebbert, D., Zamecnik, A., Wilson, N., Joksimovic, S., Mirriahi, N., & Dawson, S. (2025). The Mind's Wanderlust: A Meta-Analysis of Mind Wandering, Task-Related Interference, and Learning.
DOI
2025 Ebbert, D., Zamecnik, A., Wilson, N., Joksimovic, S., Mirriahi, N., & Dawson, S. (2025). 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
  • Learning Information Framework, Southern New Hampshire University, 05/06/2023 - 06/06/2026
  • API Data Upload Integration Canvas - Ontask, University of Copenhagen, 22/02/2024 - 30/06/2024
  • Content Summarisation Tool for Narrative Visualisation, Genix Ventures Pty Ltd, 21/12/2023 - 20/02/2024
  • Proof of Concept - Google Cloud Platform, Southern New Hampshire University, 04/09/2023 - 31/10/2023
  • Measuring Learning Gains: Using learning profiles to improve learning, Thyne Reid Foundation Grant, 01/01/2021 - 31/12/2022
  • Development of Learning Analytics Framework for Primary and Secondary Schools, St Michael¿s College, 01/09/2019 - 30/11/2019

Courses I teach

  • INFS 3076 Predictive and Descriptive Analytics (2025)
  • INFS 5100 Predictive Analytics (2025)
  • INFS 3076 Predictive and Descriptive Analytics (2024)
  • INFS 5100 Predictive Analytics (2024)

Date Role Research Topic Program Degree Type Student Load Student Name
2026 Principal Supervisor The relationship between language proficiency and self-efficacy with the use of Generative AI tools among university students: Comparison between non-native and native English speakers Doctor of Philosophy Doctorate Full Time Ms Alma Kalosa
2026 Principal Supervisor AI-Enhanced Game-Based Learning: Personalizing Education for Diverse Learner Needs in the Digital Age Doctor of Philosophy Doctorate Full Time Ms Yiting Shen
2025 Principal Supervisor Enhancing students learning experience through personalised assessments Doctor of Philosophy Doctorate Full Time Linqing Li
2025 Principal Supervisor Enhancing Students' Learning Experience Through Personalized Assessments in Foreign Language Education Using AI Tools Doctor of Philosophy Doctorate Full Time Ms TRAN HUA
2024 Co-Supervisor A Framework of Goodwill: How to Build a Secure Assessment Environment That is Accepted by Instructors and Learners Doctor of Philosophy Doctorate Full Time Mr Rory James Thoman
2024 Principal Supervisor Transparency, Privacy, and Autonomy: The Impact of Explainable Al and Synthetic Data on Learner Agenc Doctor of Philosophy Doctorate Full Time Mr Omar Alajlan
2024 Principal Supervisor Transparency, Privacy, and Autonomy: The Impact of Explainable Al and Synthetic Data on Learner Agenc? Doctor of Philosophy Doctorate Full Time Mr Omar Alajlan
2023 Co-Supervisor Transforming online social learning: leveraging AI capabilities to enhance social interactions in online higher education Doctor of Philosophy Doctorate Full Time Thommadurage Wimukthi
2022 Co-Supervisor Trust Dynamics and Role Emergence in Complex Problem-Solving: A Study of Human-AI Collaborative Learning Environments in Secondary Education  Doctor of Philosophy Doctorate Part Time Mr Zhengzheng Wang
2022 Co-Supervisor Examining self-regulated learning through repeated reflective practice - Doctorate Full Time Nazanin Reza Zadeh Mottaghi
2022 Co-Supervisor A framework for advancing the adoption of artificial intelligence and data to support workplace learning in the finance sector Doctor of Philosophy Doctorate Full Time Ms Phuong Thi Mai Pham
2021 Co-Supervisor An investigation of the impact of STEMfooty: an integrated curriculum to aid motivation, self-regulation and academic performance in Mathematics and Science subjects Doctor of Education Doctorate Part Time Ms Katie Sue Bell
2021 Co-Supervisor Understanding team dynamics and emotional resilience in complex problem solving Doctor of Philosophy Doctorate Part Time Ms Megan Taylor

Date Role Research Topic Program Degree Type Student Load Student Name
2022 - 2026 Co-Supervisor Examining self-regulated learning through repeated reflective practice Doctor of Philosophy Doctorate Full Time Miss Nazanin Reza Zadeh Mottaghi
2022 - 2025 Co-Supervisor Exploring self-regulated learning and off-task thoughts during video-based learning Doctor of Philosophy Doctorate Full Time Daniel Ebbert
2021 - 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
2021 - 2023 Co-Supervisor Investigating the fairness of predictive learning analytics models in static and dynamic environments Doctor of Philosophy Doctorate Full Time Mr Oscar Deho
2021 - 2023 Co-Supervisor The measurement and analysis of team cohesion in technology-mediated environments using learning analytics Doctor of Philosophy Doctorate Full Time Mr Andrew Zamecnik
2020 - 2023 Co-Supervisor Evaluating the learning and acquisition of leadership skills in online learning settings Doctor of Philosophy Doctorate Full Time Mr Abhinava Barthakur
2019 - 2025 Co-Supervisor Exploring the relation between cognitive presence, self-regulated learning and learning transfer in online postgraduate medical sonography students Doctor of Philosophy Doctorate Part Time Mrs Sandhya Maranna

Connect With Me

External Profiles

Other Links