George Siemens

Prof George Siemens

Professor and Director, Centre for Change and Complexity in Learning

School of Education

College of Education, Behavioural and Social Science

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

Professor George Siemens researches networks, analytics, and human and artificial cognition in education. He has delivered keynote addresses in more than 35 countries on the influence of technology and media on education, organizations, and society. His work has been profiled in provincial, national, and international newspapers (including NY Times), radio, and television. He has served as PI or Co-PI on grants with funding from NSF, SSHRC (Canada), Intel, Bill & Melinda Gates Foundation, Boeing, and the Soros Foundation. He has served as a collaborator on international grants in European Union, Singapore, Australia, Senegal, Ghana, and UK. He has received numerous awards, including honorary doctorates from Universidad de San Martín de Porres and Fraser Valley University for his pioneering work in learning, technology, and networks. He holds an honorary professorship with University of Edinburgh. Professor Siemens is a founding President of the Society for Learning Analytics Research. In 2008, he pioneered massive open online courses (sometimes referred to as MOOCs).

Year Citation
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
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
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 Shi, W., Barthakur, A., Kovanović, V., Stephenson, H., Siemens, G., & Han, X. (2025). Examining practicums within initial teacher education programs: Understanding the dimensions of professional development of pre-service teachers. Studies in Educational Evaluation, 85(101461), 13 pages.
DOI
2024 Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., . . . Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21(article 4), 1-41.
DOI Scopus274
2024 Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers and Education, 210(104967), 1-18.
DOI
2023 Gašević, D., Siemens, G., & Sadiq, S. (2023). Empowering learners for the age of artificial intelligence. Computers and Education: Artificial Intelligence, 4, article no. 100130, 1-4.
DOI
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 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 Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., . . . Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?. Computers and Education Artificial Intelligence, 3(100056), 1-16.
DOI Scopus290
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
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 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
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 Siemens, G. (2019). Learning analytics and open, flexible, and distance learning. Distance education, 40(3), 414-418.
DOI
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 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
2016 Dietze, S., Siemens, G., Taibi, D., & Drachsler, H. (2016). Editorial: datasets for learning analytics. Journal of learning analytics, 3(2), 307-311.
DOI
2015 Merceron, A., Blikstein, P., & Siemens, G. (2015). Learning analytics: from big data to meaningful data. Journal of learning analytics, 2(3), 4-8.
DOI
2015 Gašević, D., Dawson, S., & Siemens, G. (2015). Let's not forget: learning analytics are about learning. TechTrends, 59(1), 64-71.
DOI
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
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 Pardo, A., & Siemens, G. (2014). Ethical and privacy principles for learning analytics. British journal of educational technology, 45(3), 438-450.
DOI Scopus398 WoS269
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.
2013 Siemens, G. (2013). Learning analytics: the emergence of a discipline. American behavioral scientist, 57(10), 1380-1400.
DOI
2011 Siemens, G., & Long, P. (2011). Penetrating the fog: analytics in learning and education. EDUCAUSE review, 30-40.
2010 Siemens, G., & Matheos, K. (2010). Systemic changes in higher education. In education, 16(1), 3-18.

Year Citation
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
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
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.
2014 Baker, R., & Siemens, G. (2014). Educational data mining and learning analytics. In R. K. Sawyer (Ed.), Source details - Title: The Cambridge handbook of the learning sciences (2nd ed. ed., pp. 253-272). UK: Cambridge University Press.
DOI
2013 Siemens, G. (2013). Massive open online courses: innovation in education. In R. McGreal, W. Kinuthia, & S. Marshall (Eds.), Source details - Title: Open educational resources: innovation research and practice (pp. 5-15). Canada: Athabasca University.

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 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
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
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
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
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., 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 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 Brooks, C., Teasley, S., & Siemens, G. (2017). Challenges and opportunities facing educational discourse researchers. In M. Hatala (Ed.), LAK 2017 Proceedings of the 7th International conference on learning analytics and knowledge (pp. 600-601). US: ACM Press.
DOI
2017 Spann, C. A., Schaeffer, J., & Siemens, G. (2017). Expanding the scope of learning analytics data: preliminary findings on attention and self-regulation using wearable technology. In M. Hatala (Ed.), LAK 2017 Proceedings of the 7th International conference on learning analytics and knowledge (pp. 203-207). US: ACM Press.
DOI
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.
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 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
2015 Aleven, V., Sewall, J., Popescu, O., Xhakaj, F., Chand, D., Baker, R., . . . Gasevic, D. (2015). The beginning of a beautiful friendship? Intelligent tutoring systems and MOOCs. In C. Conati (Ed.), Artificial Intelligence in Education: 17th International Conference, AIED 2015 - Proceedings (pp. 525-528). Switzerland: Springer.
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 Rosé, C. P., & Siemens, G. (2014). Shared task on prediction of dropout over time in massively open online courses. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 39-41). Qatar: Association for Computational Linguistics (ACL).
DOI
2012 Siemens, G., & Baker, R. S. (2012). Learning analytics and educational data mining: towards communication and collaboration. In S. Shum, D. Gasevic, & R. Ferguson (Eds.), LAK 2012 Proceedings of the 2nd International conference on learning analytics and knowledge (pp. 252-254). US: ACM Press.
DOI
2012 Siemens, G. (2012). Learning analytics: envisioning a research discipline and a domain of practice. In LAK 2012 Proceedings of the 2nd International conference on learning analytics and knowledge (pp. 4-8). US: ACM Press.
DOI
2011 Dron, J., Anderson, T., & Siemens, G. (2011). Putting things in context: designing social media for education. In S. Greener, & A. Rospigliosi (Eds.), Proceedings of the European Conference on Games-based Learning, 2011 Vol. 1 (pp. 158-177). UK: Academic Conferences Ltd.

  • Skills SA: Building Capability Projects Skills Gaps in the Advertising and Design Sector, SA Minister for Education, Training and Skills, 28/07/2022 - 01/05/2023

  • Examining the Impact of COVID-19 Teach to Reach Programme, The Geneva Learning Foundation, 07/07/2020 - 30/08/2021

Date Role Research Topic Program Degree Type Student Load Student Name
2024 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Omar Alajlan
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Nguyen Nhu Anh Le
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Ms Ke Hyang Lee
2021 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Ms Megan Taylor

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