Carrie Demmans Epp

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

Connect

About

Appointed Canada CIFAR AI Chair – 2026

Carrie Demmans Epp’s work has two streams. One employs analytics and other methods to understand how people use educational technologies so that these technologies and their use can be improved. The other focuses on developing adaptive educational technologies and reporting systems to support learning across a variety of contexts.

Awards

Killam Accelerator Research Award, Killam Trusts (2025-2028)
Spirit of Dr. Armour Award, Women in Scholarship, Engineering, Science, and Technology Summer Research Program (2025)
CRA-E Undergraduate Research Faculty Mentoring Award, Computing Research Association (2024)

Relevant Publications

Demmans Epp, C., & Bull, S. (2015). Uncertainty representation in visualizations of learning analytics for learners: Current approaches and opportunities. IEEE Transactions on Learning Technologies, 8(3), 242–260. https://doi.org/10.1109/TLT.2015.2411604
Teodorescu, D., Matalski, J., Lothian, D., Barbosa, D., & Demmans Epp, C. (2022). Cree Corpus: A Collection of nêhiyawêwin Resources. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 6354–6364. https://doi.org/10.18653/v1/2022.acl-long.440
Karimiabdolmaleki, M., Farias Wanderley, L., Cutumisu, M., Rezazadeh, M., & Demmans Epp, C. (2025). Negative Language Transfer Identification in the English Writing of Chinese and Farsi Native Speakers. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-025-00468-8
Cai, M., Rebolledo Mendez, G., Arevalo, G., Tang, S. S., Abdullah, Y. A., & Demmans Epp, C. (2024). Toward Supporting Adaptation: Exploring Affect’s Role in Cognitive Load when Using a Literacy Game. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1–17. https://doi.org/10.1145/3613904.3642150
Abdullah, Y. A., Guevarra, M., Cai, M., Yan, J., Taylor, M. E., & Demmans Epp, C. (2025). Pilot Trainees Benefit from Modelling and Adaptive Feedback. Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, UMAP ’25, 144–154. https://doi.org/10.1145/3699682.3728337

Institution

Amii

University of Alberta

Department

Computing Science

Education

Ph.D. (Computer Science, Human-Computer Interaction), University of Toronto
M.Sc. (Computer Science, Artificial Intelligence), University of Saskatchewan
B.Sc. (Computer Science & Russian), University of Saskatchewan

Country

Canada

Support Us

The Canadian Institute for Advanced Research (CIFAR) is a globally influential research organization proudly based in Canada. We mobilize the world’s most brilliant people across disciplines and at all career stages to advance transformative knowledge and solve humanity’s biggest problems, together. We are supported by the governments of Canada, Alberta and Québec, as well as Canadian and international foundations, individuals, corporations and partner organizations.

Donate Now

Follow Us