Shane Dawson

Prof Shane Dawson

Pro Vice Chancellor, College of Education, Behavioural and Social Sciences

School of Education

College of Education, Behavioural and Social Sciences

Available For Media Comment.

Shane Dawson is the Executive Dean Education Futures and Professor of Learning Analytics at the University of South Australia. Shane's research focuses on topics ranging from creative capacity to social network analysis and the application of learner ICT interaction data to inform and benchmark teaching and learning quality. His current research interests relate to complex systems and academic leadership to aid adoption and application of AI in education.
Shane is a founding executive member of the Society for Learning Analytics Research and past program and conference chair of the International Learning Analytics and Knowledge conference. With the support of many talented colleagues, Shane has been involved in the development of numerous open source software including the Online Video Annotations for Learning (OVAL), OnTask (a personalised learner feedback tool), and SNAPP, a social network visualization tool designed for teaching staff to better understand, identify and evaluate student learning, engagement, academic performance and creative capacity.

Learning analytics, Educational Technology, Social Network Analysis, Self-regulated learning, creative capacity, Higher Education

Year Citation
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
2025 Toofaninejad, E., Dawson, S., Sohrabi, S., & Kalantarion, M. (2025). Exploring the transformative potential of learning analytics in medical education: a systematic review. Journal of Advances in Medical Education and Professionalism, 13(1), 12-24.
DOI
2025 Venaruzzo, L., Mirriahi, N., Poquet, O., & Dawson, S. (2025). Study of motivational beliefs and behaviours among second-year university students in an emergency remote teaching context. Higher Education Research & Development, online, 1-19.
DOI
2025 Barthakur, A., Marrone, R., Esnaashari, S., Kovanovic, V., & Dawson, S. (2025). Advancing Holistic Decision-Making Systems in Schools: Insights From Academic Research and Practical Applications. Journal of Computer Assisted Learning, 41(3), 13 pages.
DOI
2025 Brinkman, S. A., Lam, B., Dawson, S., Marrone, R., Schunk, D., Winkel, K., . . . Engelhardt, D. (2025). Pragmatic clustered randomised control trial to evaluate a self-regulated learning intervention to be implemented in South Australian primary schools—study protocol. Trials, 26(1), 12 pages.
DOI Scopus1 WoS1
2025 Whitehorn, M., Kovanović, V., Marrone, R., & Dawson, S. (2025). Creative Thinking and Non-Cognitive Factors in Science: Implications for Diversity in STEM Subjects. Creativity Research Journal, online, 15 pages.
DOI
2025 Marrone, R., Fowler, S., Bathakur, A., Dawson, S., Siemens, G., & Singh, C. (2025). Perceptions and perspectives of Australian school leaders on the integration of artificial intelligence in schools. School Leadership & Management, 45(1), 30-52.
DOI Scopus2 WoS1
2024 Marrone, R., Lam, B., Barthakur, A., Brinkman, S., Dawson, S., & Gabriel, F. (2024). The Relationship between Wellbeing and Academic Achievement: A Comprehensive Cross-Sectional Analysis of System Wide Data From 2016-2019. Journal of Learning Analytics, 11(3), 123-141.
DOI Scopus3 WoS2
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 Barthakur, A., Kovanović, V., Dawson, S., & Deneen, C. C. (2024). The application of curriculum analytics for improving assessments and quality assurance in higher education. Australasian Journal of Educational Technology, 40(4), 20-37.
DOI Scopus4 WoS2
2024 Venaruzzo, L., Mirriahi, N., Poquet, O., & Dawson, S. (2024). 'Strained and strange': second-year university students' help-seeking strategies. Student Success, 15(1), 1-8.
DOI
2023 Salehian Kia, F., Pardo, A., Dawson, S., & O’Brien, H. (2023). Exploring the relationship between personalized feedback models, learning design and assessment outcomes. Assessment and Evaluation in Higher Education, 48(6), 860-873.
DOI Scopus5 WoS4
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 Poquet, O., Nguyen, Q., Kovanovic, V., Brooks, C., Dawson, S., & Biotteau, A. (2022). Grade-based similarity prevails in online course forums at scale. Computers and Education, 178(104401), 1 n-17.
DOI Scopus10 WoS6
2022 Venaruzzo, L., Mirriahi, N., Poquet, S., & Dawson, S. (2022). Second-year student perceptions and use of technology during emergency remote teaching to connect with peers and instructors. Pacific Journal of Technology Enhanced Learning, 41(1), 31-33.
DOI
2021 Poquet, O., Kitto, K., Jovanovic, J., Dawson, S., Siemens, G., & Markauskaite, L. (2021). Transitions through lifelong learning: implications for learning analytics. Computers and Education: Artificial Intelligence, 2(100039), 1-11.
DOI
2021 Lim, L. A., Gentili, S., Pardo, A., Kovanović, V., Whitelock-Wainwright, A., Gašević, D., & Dawson, S. (2021). What changes, and for whom? A study of the impact of learning analytics-based process feedback in a large course. Learning and Instruction, 72(SI, article no.101202), 1-11.
DOI Scopus114 WoS89
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
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 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 Poquet, O., Jovanovic, J., & Dawson, S. (2020). Differences in forum communication of residents and visitors in MOOCS. Computers & Education, 156(103937), 1-17.
DOI
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 Zhang, J., Burgos, D., & Dawson, S. (2019). Advancing open, flexible and distance learning through learning analytics. Distance education, 30(3), 303-308.
DOI
2019 Joksimovic, S., Kovanovic, V., & Dawson, S. (2019). The journey of learning analytics. HERDSA Review of Higher Education, 6, 37-63.
2019 Jovanovic, J., Mirriahi, N., Gašević, D., Dawson, S., & Pardo, A. (2019). Predictive power of regularity of pre-class activities in a flipped classroom. Computers and Education, 134, 156-168.
DOI Scopus110 WoS88
2019 Gasevic, D., Tsai, Y. S., Dawson, S., & Pardo, A. (2019). How do we start? An approach to learning analytics adoption in higher education. International Journal of Information and Learning Technology, 36(4), 342-353.
DOI Scopus86 WoS58
2019 Tsai, Y. S., Poquet, O., Gašević, D., Dawson, S., & Pardo, A. (2019). Complexity leadership in learning analytics: Drivers, challenges and opportunities. British Journal of Educational Technology, 50(6), 2839-2854.
DOI Scopus97 WoS63
2019 Pardo, A., Jovanovic, J., Dawson, S., Gašević, D., & Mirriahi, N. (2019). Using learning analytics to scale the provision of personalised feedback. British Journal of Educational Technology, 50(1), 128-138.
DOI Scopus334 WoS241
2019 Pardo, A., Gasevic, D., Jovanovic, J., Dawson, S., & Mirriahi, N. (2019). Exploring Student Interactions with Preparation Activities in a Flipped Classroom Experience. IEEE Transactions on Learning Technologies, 12(3), 333-346.
DOI Scopus42 WoS32
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
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
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 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 Helal, S., Li, J., Liu, L., Ebrahimie, E., Dawson, S., Murray, D., & Long, Q. (2018). Predicting academic performance by considering student heterogeneity. Knowledge-Based Systems, 161, 134-146.
DOI Scopus164 WoS111
2018 Helal, S., Li, J., Liu, L., Ebrahimie, E., Dawson, S., & Murray, D. J. (2018). Identifying key factors of student academic performance by subgroup discovery. International Journal of Data Science and Analytics, 7(3), 227-245.
DOI Scopus39 WoS29
2018 Mirriahi, N., Jovanovic, J., Dawson, S., Gašević, D., & Pardo, A. (2018). Identifying engagement patterns with video annotation activities: a case study in professional development. Australasian journal of educational technology, 34(1), 57-72.
DOI Scopus31 WoS23
2018 Pardo, A., Bartimote, K., Buckingham Shum, S., Dawson, S., Gao, J., Gašević, D., . . . Vigentini, L. (2018). OnTask: Delivering Data-Informed, Personalized Learning Support Actions. Journal of Learning Analytics, 5(3), 235-249.
DOI WoS71
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
2017 Toofaninejad, E., Zaraii Zavaraki, E., Dawson, S., Poquet, O., & Sharifi Daramadi, P. (2017). Social media use for deaf and hard of hearing students in educational settings: a systematic review of literature. Deafness and education international, 19(3-4), 144-161.
DOI
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 Jovanović, J., Gašević, D., Dawson, S., Pardo, A., & Mirriahi, N. (2017). Learning analytics to unveil learning strategies in a flipped classroom. Internet and higher education, 33, 74-85.
DOI Scopus334 WoS256
2017 Gašević, D., Jovanović, J., Pardo, A., & Dawson, S. (2017). Detecting learning strategies with analytics: links with self-reported measures and academic performance. Journal of learning analytics, 4(2), 113-128.
DOI
2016 Macfadyen, L. P., Dawson, S., Prest, S., & Gašević, D. (2016). Whose feedback? A multilevel analysis of student completion of end-of-term teaching evaluations. Assessment & evaluation in higher education, 41(6), 821-839.
DOI
2016 Gašević, D., Dawson, S., Rogers, T., & Gasevic, D. (2016). Learning analytics should not promote one size fits all: the effects of instructional conditions in predicting academic success. Internet and higher education, 28, 68-84.
DOI
2016 Ognjanovic, I., Gasevic, D., & Dawson, S. P. (2016). Using institutional data to predict student course selections in higher education. Internet and higher education, 29, 49-62.
DOI
2016 Mirriahi, N., Liaqat, D., Dawson, S., & Gasevic, D. (2016). Uncovering student learning profiles with a video annotation tool: reflective learning with and without instructional norms. Educational technology research and development, 64(6), 1-24.
DOI
2015 Carceller, C., Dawson, S., & Lockyer, L. (2015). Social capital from online discussion forums: Differences between online and blended modes of delivery. Australasian Journal of Educational Technology, 31(2), 150-163.
2015 Gašević, D., Dawson, S., & Siemens, G. (2015). Let's not forget: learning analytics are about learning. TechTrends, 59(1), 64-71.
DOI
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
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
2014 Dawson, S., & Siemens, G. (2014). Analytics to literacies: the development of a learning analytics framework for multiliteracies assessment. International review of research in open and distance learning, 15(4), 284-305.
2014 Dawson, S. P., & Hubball, H. (2014). Curriculum analytics: application of social network analysis for improving strategic curriculum decision-making in a research-intensive university. Teaching and learning inquiry, 2(2), 59-74.
2014 Macfadyen, L. P., Dawson, S. P., Pardo, A., & Gasevic, D. (2014). Embracing big data in complex educational systems: the learning analytics imperative and the policy challenge. Research and practice in Assessment, 9, 17-28.
2013 Carceller, C., Dawson, S., & Lockyer, L. (2013). Improving academic outcomes: does participating in online discussion forums payoff. International journal of technology enhanced learning, 5(2), 117-132.
DOI
2013 Haythornthwaite, C., De Laat, M., & Dawson, S. P. (2013). Introduction to the Special Issue on Learning Analytics. American behavioral scientist, 57(10), 1371-1379.
DOI
2013 Risko, E. F., Foulsham, T., Dawson, S., & Kingstone, A. (2013). The collaborative lecture annotation system (CLAS): A new TOOL for distributed learning. IEEE Transactions on Learning Technologies, 6(1), 4-13.
DOI
2013 Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, 57(10), 1439-1459.
DOI Scopus392 WoS275
2012 Macfadyen, L. P., & Dawson, S. (2012). Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Educational technology and society, 15(3), 149-163.
2011 Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to monitor a learners' creative capacity. Australasian journal of educational technology, 27(6), 924-942.
DOI
2011 Dawson, S., Macfadyen, L., Lockyer, L., & Mazzochi Jones, D. (2011). Using social network metrics to assess the effectiveness of broad based admission practices. Australasian journal of educational technology, 27(1), 16-27.
2010 Dawson, S. P., Heathcote, L., & Poole, G. (2010). Harnessing ICT potential: The adoption and analysis of ICT systems for enhancing the student learning experience. International journal of educational management, 24(2), 116-128.
DOI
2010 Macfadyen, L., & Dawson, S. P. (2010). Mining LMS data to develop an 'early warning system' for educators: A proof of concept. Computers & Education, 54(2), 588-599.
DOI
2010 Dawson, S. P. (2010). 'Seeing' the learning community: an exploration of the development of a resource for monitoring online student networking. British journal of educational technology, 41(5), 736-752.
DOI
2008 Dawson, S. P. (2008). A study of the relationship between student social networks and sense of community. Educational Technology & Society, 11(3), 224-238.
2008 McWilliam, E., & Dawson, S. P. (2008). Teaching for creativity: towards sustainable and replicable pedagogical practice. Higher education, 56(6), 633-643.
DOI
2008 McWilliam, E., & Dawson, S. P. (2008). Pedagogical practice after the information age. Journal of Futures Studies, 12(3), 1-14.
2008 McWilliam, E., Dawson, S. P., & Tan, J. F. (2008). From vaporousness to visibility : what might evidence of creative capacity building actually look like?. UNESCO Observatory, 1(3), 1-19.

Year Citation
2025 Jayalath, V., Barthakur, A., Dawson, S., Tingey, J., Crase, L., & Kovanović, V. (2025). Scaling Curriculum Mapping in Higher Education: Evaluating Generative AI’s Role in Curriculum Analytics. In Lecture Notes in Computer Science (Vol. 15877 LNAI, pp. 294-308). Switzerland: Springer Nature Switzerland.
DOI
2024 Barthakur, A., Marrone, R., Esnaashari, S., Kovanovic, V., & Dawson, S. (2024). A Systematic Review of Studies on Decision-Making Systems for Teaching and Learning in K-12. In R. F. Mello, N. Rummel, I. Jivet, G. Pishtari, & J. A. R. Valiente (Eds.), Lecture Notes in Computer Science (Vol. 15159 LNCS, pp. 49-63). Austria: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI
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
2024 Zamecnik, A., Barthakur, A., Wang, H., & Dawson, S. (2024). Mapping employable skills in higher education curriculum using LLMs. In Event/exhibition information: 19th European Conference on Technology Enhanced Learning, EC-TEL, Krems, 16/09/2024-20/09/2024
Source details - Title: Technology Enhanced Learning for Inclusive and Equitable Quality Education (Vol. 15160 LNCS, pp. 18-32). Germany: Springer.
DOI Scopus4
2022 Pardo, A., Mirriahi, N., Gasevic, D., & Dawson, S. (2022). A model for learning analytics to support personalization in higher education. In R. Sharpe, S. Bennett, & T. Varga-Atkins (Eds.), Handbook of Digital Higher Education (pp. 26-37). UK: Edward Elgar Publishing.
DOI Scopus3
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
2018 Jovanović, J., Gašević, D., Pardo, A., Mirriahi, N., & Dawson, S. (2018). An analytics-based framework to support teaching and learning in a flipped classroom. In J. M. Lodge, J. Horvath, & L. Corrin (Eds.), Source details - Title: Learning analytics in the classroom: translating learning analytics research for teachers (pp. 131-151). US: Routledge.
2017 de Laat, M., & Dawson, S. (2017). Is there anybody out there? Place-based networks for learning: Netmap-a tool for accessing hidden informal learning networks. In L. Carvalho, P. Goodyear, & M. Laat (Eds.), Source details - Title: Place-based spaces for networked learning (pp. 100-110). US: Routledge.
2017 Pardo, A., Poquet, O., Martinez-Maldonado, R., & Dawson, S. (2017). Provision of Data-Driven Student Feedback in LA & EDM. In C. Lang, G. Siemens, A. Wise, & D. Gasevic (Eds.), Handbook of Learning Analytics (pp. 163-174). Beaumont, Alberta, Canada: Society for Learning Analytics Research (SoLAR).
DOI
2016 Pardo, A., & Dawson, S. (2016). Learning analytics: how can data be used to improve learning practice?. In P. Reimann (Ed.), Source details - Title: Measuring and visualizing learning in the information-rich classroom (pp. 41-55). USA: Taylor and Francis.
DOI Scopus17
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.
2012 Heathcote, E., & Dawson, S. (2012). The case for an innovations framework for technology-enabled learning environments and knowledge translation. In K. Ho (Ed.), Source details - Title: Technology enabled knowledge translation for ehealth : principles and practice (pp. 3-20). US: Springer.
DOI
2011 Bridgstock, R., Dawson, S., & Hearn, G. (2011). Cultivating innovation through social relationships: a qualitative study of outstanding Australian innovators in science and technology and the creative industries. In A. Mesquita (Ed.), Source details - Title: Technology for creativity and innovation: tools, techniques and applications (pp. 104-120). USA: IGI Global.
DOI
2011 McWilliam, E., Dawson, S. P., & Tan, J. P. L. (2011). Less elusive, more explicit: the challenge of 'seeing' creativity in action. In P. Thomson, & J. Sefton-Green (Eds.), Source details - Title: Researching creative learning: methods and issues (pp. 113-125). US: Routledge.
2010 McWilliam, E., & Dawson, S. (2010). Flocking together : how to optimise the value of your doctoral network. In C. Denholm, T. Evans, & T. Evans (Eds.), Source details - Title: Beyond doctorates downunder: maximising the impact of your doctorate (pp. 187-194). Australia: ACER - Australian Council for Educational Research.
2010 McWilliam, E., Tan, J. P. L., & Dawson, S. (2010). Creativity, digitality and twenty-first-century schooling. In D. Araya, & M. A. Peters (Eds.), Source details - Title: Education in the creative economy: knowledge and learning in the age of innovation (pp. 469-484). US: Peter Lang.

Year Citation
2025 Claassen, A., Mirriahi, N., Kovanović, V., & Dawson, S. (2025). From Data to Design: Integrating Learning Analytics into Educational Design for Effective Decision-Making: From Data to Design. In 15th International Conference on Learning Analytics and Knowledge Lak 2025 (pp. 558-567). US: ASSOC COMPUTING MACHINERY.
DOI Scopus1 WoS1
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 Scopus5 WoS4
2023 Barthakur, A., Dawson, S., & Kovanovic, V. (2023). Advancing leaner profiles with learning analytics: A scoping review of current trends and challenges. In ACM International Conference Proceeding Series (pp. 606-612). US: ASSOC COMPUTING MACHINERY.
DOI Scopus13
2023 Dawson, S., Pardo, A., Salehian Kia, F., & Panadero, E. (2023). An Integrated Model of Feedback and Assessment: From fine grained to holistic programmatic review. In ACM International Conference Proceeding Series (pp. 579-584). US: ACM.
DOI Scopus8 WoS5
2023 Hilliger, I., Khosravi, H., Rienties, B., & Dawson, S. (2023). Lak23 conference proceedings towards trustworthy learning analytics. In ACM International Conference Proceeding Series (pp. iii-iv). US: ACM.
DOI
2021 Lim, L. A., Gasevic, D., Matcha, W., Ahmad Uzir, N., & Dawson, S. (2021). Impact of learning analytics feedback on self-regulated learning: Triangulating behavioural logs with students' recall. In ACM International Conference Proceeding Series (pp. 364-374). US: ACM.
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 Lim, L. A., Fudge, A., & Dawson, S. (2019). Feeling supported: enabling students in diverse cohorts through personalised, data-informed feedback. In ASCILITE - 2019 Conference Proceedings (pp. 206-215). Singapore: ASCILITE.
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 Jovanović, J., Dawson, S., Gašević, D., Whitelock-Wainwright, A., & Pardo, A. (2019). Introducing meaning to clicks: Towards traced-measures of self-efficacy and cognitive load. In D. Azcona, & R. Chung (Eds.), ACM International Conference Proceeding Series (pp. 511-520). US: ASSOC COMPUTING MACHINERY.
DOI Scopus26 WoS22
2018 Dawson, S., Poquet, O., Colvin, C., Rogers, T., Pardo, A., & Gasevic, D. (2018). Rethinking learning analytics adoption through complexity leadership theory. In LAK '18: Proceedings of the 8th International Conference on Learning Analytics and Knowledge (pp. 236-244). New York, USA: ASSOC COMPUTING MACHINERY.
DOI Scopus61 WoS40
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 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 Scopus85 WoS55
2018 Poquet, O., & Dawson, S. (2018). Network Patterns of Direct and Indirect Reciprocity in edX MOOC Forums. In R. Alhajj (Ed.), Network Intelligence Meets User Centered Social Media Networks (pp. 49-64). Switzerland: Springer.
DOI
2018 Poquet, O., Lim, L., Mirriahi, N., & Dawson, S. (2018). Video and learning: A systematic review (2007-2017). In ACM International Conference Proceeding Series (pp. 151-160). Australia: Association for Computing Machinery (ACM).
DOI
2018 Poquet, O., Dowell, N., Brooks, C., & Dawson, S. (2018). Are MOOC forums changing?. In ACM International conference proceeding series (pp. 340-349). Australia: Association for Computing Machinery.
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2017 Tsai, Y. S., Gasevic, D., Muñoz Merino, P. J., & Dawson, S. P. (2017). La policy: developing an institutional policy for learning analytics using the RAPID outcome mapping approach. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference Vol. pp. 494-495 (pp. 494-495). United States: ACM.
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2017 Poquet, O., Dawson, S., & Dowell, N. (2017). How effective is your facilitation? Group-level analytics of MOOC forums. In ACM International Conference Proceeding Series (pp. 208-217). Canada: ACM.
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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 Dawson, S., Jovanovic, J., Gašević, D., & Pardo, A. (2017). From prediction to impact: Evaluation of a learning analytics retention program. In LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 474-478). New York, USA: ACM.
DOI Scopus66 WoS54
2017 Molenaar, I., Ochoa, X., & Dawson, S. (2017). LAK 2017 program chairs' welcome. In ACM International Conference Proceeding Series Vol. F126742 (pp. 1). Canada: ACM.
2016 Pardo, A., Mirriahi, N., Martinez Maldonado, R., Jovanovic, J., Dawson, S., & Gašević, D. (2016). Generating actionable predictive models of academic performance. In LAK '16 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Vol. 25-29-April-2016 (pp. 474-478). US: ACM.
DOI Scopus41 WoS37
2016 Kitto, K., Bakharia, A., Lupton, M., Mallet, D., Banks, J., Bruza, P., . . . Lynch, G. (2016). The connected learning analytics toolkit. In LAK '16 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Vol. 25-29-April-2016 (pp. 548-549). US: Association for Computing Machinery.
DOI Scopus8 WoS8
2016 Bakharia, A., Kitto, K., Pardo, A., Gašević, D., & Dawson, S. (2016). Recipe for success: lessons learnt from using xAPI within the connected learning analytics toolkit. In LAK '16 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge Vol. 25-29-April-2016 (pp. 378-382). US: Association for Computing Machinery.
DOI Scopus47 WoS35
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 Bakharia, A., Corrin, L., de Barba, P., Kennedy, G., Gašević, D., Mulder, R., . . . Lockyer, L. (2016). A conceptual framework linking learning design with learning analytics. In LAK '16 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 329-338). UK: ACM.
DOI
2016 Poquet, O., & Dawson, S. (2016). Untangling MOOC learner networks. In LAK '16 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 208-212). US: ACM.
DOI
2015 De Laat, M., Haythornthwaite, C., Dawson, S., & Suthers, D. (2015). Introduction to social media and learning minitrack. In Proceedings of the Annual Hawaii International Conference on System Sciences Vol. 2015-March (pp. 1919). US: IEEE.
DOI
2015 Poquet, O., & Dawson, S. (2015). Analysis of MOOC forum participation. In ASCILITE 2015 - Australasian Society for Computers in Learning and Tertiary Education, Conference Proceedings (pp. 224-234). Australia: Australasian Society for Computers in Learning in Tertiary Education (ASCILITE).
2015 Bakharia, A., & Dawson, S. (2015). Using sentence compression to develop visual analytics for student responses to short answer questions. In E. Duval (Ed.), Proceedings of the First International Workshop on Visual Aspects of Learning Analytics, co-located with 5th International Learning Analytics and Knowledge Conference (LAK 2015)CEUR Workshop Proceedings Vol. 1518 (pp. 11-13). Germany: Rheinisch-Westfaelische Technische Hochschule Aachen Lehrstuhl Informatik V.
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 Corrin, L., Kennedy, G., De Barba, P., Bakharia, A., Lockyer, L., Gasevic, D., . . . Copeland, S. (2015). Loop: a learning analytics tool to provide teachers with useful data visualisations. In Ascilite 2015: Globally Connected, Digitally Enabled (pp. 409-413). Australia: Australasian Society for Computers in Learning in Tertiary Education (ASCILITE).
2015 Pardo, A., Mirriahi, N., Dawson, S., Zhao, Y., Zhao, A., & Gašević, D. (2015). Identifying learning strategies associated with active use of video annotation software. In Proceedings of the Fifth international Conference on Learning Analytics And Knowledge: Proceeding LAK '15 Vol. 16 (pp. 255-259). US: Association for Computing Machinery.
DOI Scopus31
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
2014 Shanahan, M., Lockyer, L., & Dawson, S. (2014). Towards a more detailed understanding of professional learning mediated by educational tools. In World Conference on Educational Media and Technology (pp. 1441-1450). Finland: AACE.
2014 Ferguson, R., Clow, D., Macfadyen, L., Essa, A., Dawson, S., & Alexander, S. (2014). Setting learning analytics in context: overcoming the barriers to large-scale adoption. In M. Pistilli, J. Willis, & D. Koch (Eds.), LAK '14 Proceedings of the Fourth International Conference on Learning Analytics And Knowledge (pp. 251-253). US: ACM.
DOI
2014 Gašević, D., Mirriahi, N., & Dawson, S. (2014). Analytics of the effects of video use and instruction to support reflective learning. In M. Pistilli, J. Willis, & D. Koch (Eds.), LAK 2014: proceedings of the Fourth International Conference on Learning Analytics and Knowledge (pp. 123-132). US: Association for Computing Machinery.
DOI
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
2014 De Laat, M., Haythornthwaite, C., Dawson, S., & Suthers, D. (2014). Introduction to social media & learning minitrack. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 1606). US: IEEE.
DOI
2014 Kennedy, G., Corrin, L., Lockyer, L., Dawson, S., Williams, D., Mulder, R., . . . Copeland, S. (2014). Completing the loop: Returning learning analytics to teachers. In Proceedings of ASCILITE 2014 - Annual Conference of the Australian Society for Computers in Tertiary Education (pp. 436-440). New Zealand: ASCILITE.
2013 Mirriahi, N., & Dawson, S. (2013). The pairing of lecture recording data with assessment scores: a method of discovering pedagogical impact. In D. Suthers (Ed.), Proceedings of the 3rd International Conference on Learning Analytics and Knowledge, LAK 2013 (pp. 180-184). US: ACM.
DOI
2012 Haythornthwaite, C., De Laat, M., & Dawson, S. (2012). Introduction to learning analytics and networked learning minitrack. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 3357). US: IEEE.
DOI
2012 Mirriahi, N., Dawson, S., & Hoven, D. (2012). Identifying key actors for technology adoption in higher education: a social network approach. In M. Brown, M. Hartnett, & T. Stewart (Eds.), Future Challenges, Sustainable Futures: 29th ascilite Conference proceedings (pp. 1-11). New Zealand: Massey University.
2012 Dawson, S., Macfadyen, L., Risko, E. F., Foulsham, T., & Kingstone, A. (2012). Using technology to encourage self-directed learning : the Collaborative Lecture Annotation System (CLAS). In ASCILITE 2012 Conference Proceedings (pp. 246-255). New Zealand: ASCILITE - Australasian Society for Computers in Learning in Tertiary Education.
2012 Lockyer, L., & Dawson, S. (2012). Where learning analytics meets learning design. In LAK'12 Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 14-15). US: Association for Computing Machinery.
DOI
2012 Dawson, S., Haythornthwaite, C., Gašević, D., Shum, S. B., & Ferguson, R. (2012). Message from the LAK 2012 chairs. In 2nd International Conference on Learning Analytics and Knowledge, LAK 2012 (pp. 1-2). US: ACM.
2011 Bakharia, A., & Dawson, S. (2011). SNAPP: a bird's-eye view of temporal participant interaction. In LAK '11 Proceedings of the 1st International Conference on Learning Analytics and Knowledge (pp. 168-173). US: ACM.
DOI
2011 Lockyer, L., & Dawson, S. (2011). Learning designs and learning analytics. In LAK '11 Proceedings of the 1st International Conference on Learning Analytics and Knowledge (pp. 153-156). US: ACM.
DOI
2010 Dawson, S., Bakharia, A., & Heathcote, E. (2010). SNAPP: Realising the affordances of real-time SNA within networked learning environments. In L. Dirckinck-Holmfeld (Ed.), Proceedings of the 7th International Conference on Networked Learning 2010 (pp. 125-133). UK: Lancaster University.
2010 Dawson, S. P., Macfadyen, L., Lockyer, L., & Mazzochi Jones, D. (2010). From neural to social: medical student admissions criteria and engagement in a social learning environment. In C. H. Steel (Ed.), Curriculum, Technology & Transformation for an Unknown Future: Proceedings of the ASCILITE 2010 (pp. 292-301). Australia: Ascilite.
2010 Lockyer, L., Dawson, S. P., & Heathcote, E. (2010). Web 2.0 in higher education: blurring social networks and learning networks. In J. Herrington, & B. Hunter (Eds.), ED-MEDIA 2010--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 2454-2461). Canada: Association for the Advancement of Computing in Education.
2009 Bakharia, A., Heathcote, E., & Dawson, S. P. (2009). Social networks adapting pedagogical practice : SNAPP. In R. J. Atkinson, & C. McBeath (Eds.), Proceedings of the 26th Annual International Ascilite Conference (pp. 49-51). Auckland, New Zealand: The University of Auckland, Auckland University of Technology, and Australasian Society for Computers in Learning in Tertiary Education (ascilite)..
2009 Dawson, S. P., Macfadyen, L., & Lockyer, L. (2009). Learning or performance : predicting drivers of student motivation. In R. J. Atkinson, & C. McBeath (Eds.), Same places, different spaces : proceedings of the 26th Annual International Ascilite Conference (pp. 184-193). Auckland, New Zealand.
2008 Dawson, S. P., McWilliam, E., & Tan, J. P. L. (2008). Teaching smarter: How mining ICT data can inform and improve learning and teaching practice. In R. Atkinson, & C. McBeath (Eds.), Proceedings Ascilite Melbourne 2008: Hello! Where are you in the landscape of educational technology? (pp. 221-230). Australia.
2008 Dawson, S. P., McWilliam, E., & Poole, G. (2008). Monitoring Student Creative Capacity: Using network visualisation to evaluate pedagogical practice. In ARC Centre for Excellence for Creative Industries & Innovation 2008. Australia.

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

  • Self Regulated Learning RCT, Department for Education, 19/06/2023 - 31/12/2029

  • 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

  • Data analytics-based tools and methods to enhance self-regulated learning., ARC - Discovery Projects, 01/01/2022 - 31/03/2026

  • Self Regulation Measurement, Department for Education, 07/06/2023 - 06/06/2024

  • 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

  • Scaling the provision of personalised learning support actions for large student cohorts, OLT Grants - Strategic Priority Projects, 02/06/2016 - 31/03/2019

  • OLT Enabling connected learning via open source analytics in "the wild": Learning Analytics beyond the LMS, OLT-Grants - Innovation & Development, 04/12/2014 - 02/05/2017

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Katherine Adnett
2025 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Ms TRAN HUA
2024 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mrs Maya Al Safadi
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Vimukthini Jayalath
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Joshua Lamb
2022 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Ms Alrike Claassen
2022 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Nazanin Reza Zadeh Mottaghi
2021 Co-Supervisor - - Doctorate Full Time Ms Jennifer Chalmers
2021 Principal Supervisor - - Doctorate Full Time Ms Katie Sue Bell
2019 Principal Supervisor - - Doctorate Full Time Ms Lynnae Simone Venaruzzo

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