麻豆社

Dr. Maria Cutumisu is an Associate Professor in Learning Sciences at the Department of Educational and Counselling Psychology, Faculty of Education, 麻豆社. She is also an Affiliate Member of Mila - Quebec Artificial Intelligence Institute and an Adjunct Professor at the University of Alberta in both the Department of Computing Science and the Faculty of Education. She graduated with an M.Sc. and a Ph.D. in Computing Science from the Department of Computing Science, University of Alberta, and was a postdoctoral scholar in Learning Sciences in the AAA Lab at the Stanford Graduate School of Education. Her research draws on computing science and educational psychology and has been funded by tri-council grants and scholarships. In 2025, she was included on the Elsevier and Stanford University list of the world's top 2% scientists based on citations from 2024. Her research interests include multimodal feedback processing and memory, machine learning and educational data mining for automated feedback generation, game-based assessments that support learning and performance-based learning, computational thinking and data literacy, AI in games (reinforcement learning in computer role-playing games) and non-player character (NPC) behaviours, and serious games (the RETAIN game for neonatal resuscitation). She employs learning analytics to investigate the impact of K-16 student choices (e.g., willingness to seek critical feedback and to revise) and mindset on learning outcomes in an online game-based assessment to understand how prepared students are to learn and innovate. She uses psychophysiological technology (eye-tracking and electrodermal activity wearables) to provide a comprehensive understanding of student learning and memory processes.