Srecko Joksimovic

Prof Srecko Joksimovic

Associate Professor

School of Education

College of Education, Behavioural and Social Sciences

A/Prof Srecko Joksimovic is an established researcher in learning analytics, learning sciences, and AI in education. He is also Co-Director of the Centre for Change and Complexity in Learning (C3L) at the University of South Australia. His research explores how technology and AI can enhance learning, foster collaboration, and support human development through meaningful human-AI interaction.
Currently, he leads or contributes to several research initiatives and industry collaborations focused on advancing AI-enhanced education and personalized learning. His projects with Southern New Hampshire University, Matter & Space, and Amazon AWS drive innovation at the intersection of learning analytics and AI. Beyond academia, his research informs policy and practice through partnerships with government agencies, schools, and industry stakeholders.
His work on human-AI collaboration leverages multimodal data sources to better understand the complexities of group work and learning interactions. Actively engaged in global research communities, he co-leads a SIG on Responsible and Equitable AI with EATEL. A/Prof Joksimovic has also played a key role in shaping the field of learning analytics, contributing to SoLAR and ASCILITE’s Learning Analytics SIG, and holding editorial and leadership roles in major academic journals and conferences.

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 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
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 Scopus8 WoS6
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
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
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
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
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 Scopus8 WoS7
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
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 Scopus5 WoS2
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 Scopus17 WoS14 Europe PMC5
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 Scopus5 WoS5
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 Scopus16 WoS11
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 Scopus108
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
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
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 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
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 Scopus7 WoS6
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
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 Scopus19 WoS12
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 Scopus88
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 Scopus16 WoS9
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., 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 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 Scopus17 WoS10
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 Scopus8 WoS5
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 Scopus14 WoS7
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 WoS13
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 Scopus39 WoS33
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 Scopus11 WoS7
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
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
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 Scopus20 WoS16
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 Scopus54 WoS37
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 Scopus77 WoS78
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 Scopus17 WoS16
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 Scopus74 WoS64
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
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
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
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 Scopus145 WoS120
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
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 Scopus62 WoS50
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 Scopus47 WoS39
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 Scopus81 WoS75
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 Scopus175 WoS111
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
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 Scopus118
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 Scopus173 WoS141
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 Scopus53 WoS37
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 Scopus145 WoS115
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 Scopus139 WoS109
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 Scopus240 WoS172
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 Scopus94 WoS78
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 Scopus68 WoS53
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 Scopus244 WoS50
2014 Joksimovic, S., Hatala, M., & Gasevic, D. (2014). Learning analytics for networked learning models. Journal of learning analytics, 1(3), 191-194.
DOI

Year Citation
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 (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 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 Scopus10
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.
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 Scopus13
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
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
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
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 Scopus3
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 Scopus21 WoS2
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 Scopus8 WoS7
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
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
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
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
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
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 Scopus54 WoS45
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 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 WoS6
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
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
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 Scopus18 WoS15
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 Scopus10 WoS10
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
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 WoS30
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 (pp. 54-63). US: Association for Computing Machinery.
DOI
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 Scopus112 WoS85
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 Scopus80 WoS78
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., 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 Scopus90
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
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.
Scopus18
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
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.
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

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.). 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

  • 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
2025 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Linqing Li
2025 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Ms TRAN HUA
2024 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Rory James Thoman
2024 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Mr Omar Alajlan
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Thommadurage Wimukthi
2022 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Zhengzheng Wang
2022 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Nazanin Reza Zadeh Mottaghi
2022 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Ms Phuong Thi Mai Pham
2021 Co-Supervisor - - Doctorate Full Time Ms Katie Sue Bell
2021 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Ms Megan Taylor

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