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Maria Cutumisu
Maria’s research involves machine learning and game-based learning, exploring the effectiveness of such innovations as AI and wearable tech used to optimize the educational experience.

Expert In

  • Learning Sciences
  • Feedback Seeking
  • Machine Learning
  • Educational Data Mining
  • Data Science
  • Learning Analytics
  • Memory and Cognition
  • Behavioural Game-Based Assessments
  • AI in Games
  • Computer Role-Playing Games (CRPGs)

Dr. Cutumisu’s research draws on computing science and educational psychology and has been funded by tri-council grants and scholarships. She graduated with an M.Sc. and a Ph.D. in Computing Science from the Department of Computing Science, University of Alberta and she trained as a postdoctoral scholar in Learning Sciences at the Stanford Graduate School of Education. Her research interests include feedback processing and memory, machine learning and educational data mining for automated feedback generation, Al in games, computational thinking, and data literacy.

Dr. Maria Cutumisu

Maria’s research involves machine learning and game-based learning, exploring the effectiveness of such innovations as AI and wearable tech used to optimize the educational experience.

Dr. Cutumisu’s research draws on computing science and educational psychology and has been funded by tri-council grants and scholarships. She graduated with an M.Sc. and a Ph.D. in Computing Science from the Department of Computing Science, University of Alberta and she trained as a postdoctoral scholar in Learning Sciences at the Stanford Graduate School of Education. Her research interests include feedback processing and memory, machine learning and educational data mining for automated feedback generation, Al in games, computational thinking, and data literacy.

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