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Dr. Maria Cutumisu

Title: 
Associate Professor (Professeure Agrégée); Affiliate Member - Mila Quebec Artificial Intelligence Institute
Dr. Maria Cutumisu
Contact Information
Email address: 
maria.cutumisu [at] mcgill.ca
Alternate phone: 
514-399-9541
Address: 

Education Building
3700 rue McTavish
Montréal, Quebec H3A 1Y2
Canada

Division: 
Learning Sciences Supervisors
Department: 
Educational and Counselling Psychology (ECP)
Area(s): 
Educational Technology and Teaching Innovation
Areas of expertise: 
  • Learning Sciences
  • Machine Learning, Educational Data Mining
  • Learning Analytics
  • Data Science, Data Literacy
  • Feedback Seeking
  • Educational Technology
  • Memory and Cognition
  • Behavioural Game-Based Assessments
  • AI in Games
  • Computer Role-Playing Games (CRPGs)
  • Serious Games
Biography: 

Dr. Maria Cutumisu is an Associate Professor in Learning Sciences at the Department of Educational and Counselling Psychology, Faculty of Education, Ï㽶ÊÓƵ. She is also an Affiliate Member of Mila - Quebec Artificial Intelligence Institute and an Adjunct Professor in the Department of Computing Science, Faculty of Science, University of Alberta. Previously, she was a tenured Associate Professor in the Department of Educational Psychology, Faculty of Education, at the University of Alberta, where she established her lab in 2015 in the area of Measurement, Evaluation, and Data Science affiliated with the Centre for Research in Applied Measurement and Evaluation (CRAME). 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 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 as a PI (NSERC DG, NSERC CGS-D, SSHRC IG, and SSHRC IDG) and as a co-PI (SSHRC IG, SSHRC IDG, NSERC CREATE, and CIHR). Her research interests include multimodal feedback processing and memory (SSHRC IDG grants), machine learning and educational data mining for automated feedback generation (NSERC DG), game-based assessments that support learning and performance-based learning (SSHRC IG grants), computational thinking and data literacy (CanCode Callysto grants, CCTt tests, and SSHRC IG), AI in games (reinforcement learning in computer role-playing games) and non-player character (NPC) behaviours (NSERC CGS-D), and serious games (the RETAIN game for neonatal resuscitation; FRQS). 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 (SSHRC IDG, Killam).

Degree(s): 
  • Postdoctorate, Learning Sciences, Stanford Graduate School of Education, USA
  • Ph.D., Computing Science, University of Alberta, Canada
  • M.Sc., Computing Science, University of Alberta, Canada
  • B.Sc., Computer Science, Faculty of Mathematics, University of Bucharest, Romania. Licentiate Diploma in Computer Science in the field of Mathematics, specialization in Computer Science.

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Awards, honours, and fellowships: 
  • 2024, Thank a Prof. Teaching recognition from graduate students, Teaching and Learning Services (TLS), Ï㽶ÊÓƵ, Montreal,ÌýCanada
  • 2021, Graduate Student Association (GSA) Graduate Supervision Award, University of Alberta, Edmonton, Canada
  • 2019, Coutts-Clarke Research Achievement Fellowship, Faculty of Education, University of Alberta, Edmonton, Canada
  • 2018, Dear Prof. Teaching recognition from an undergraduateÌýstudent organization, University of Alberta Compliments, Edmonton, Canada
  • 2009, Outstanding Research Ph.D. Achievement Award, Computing Science, University of Alberta, Edmonton, Canada
  • 2007, Dissertation Fellowship, University of Alberta, Edmonton, Canada
  • 2007, Graduate Outreach Award, Department of Computing Science, University of Alberta, Edmonton, Canada
  • 2005 - 2007, NSERC Canada Graduate Scholarships (CGS)-D2 & iCore, Canada

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Selected publications: 
  • Please see a complete list on my ALeRT lab .
  • Cutumisu, M., Southcott, J., & Lu, C. (2022). Discovering clusters of support utilization inÌýthe Canadian community health survey - Mental Health. International Journal of Mental Health & Addiction. . Impact Factor: 8.0. Rank: 6% = 15/264.
  • Cutumisu, M., & Schwartz, D. L. (2021). Feedback choices and their relations to learning are age-invariant starting in middle school: A secondary data analysis.ÌýComputers & Education, 171(104215), October, 104215. . Impact Factor: 11.18. Rank: 0.7% = 2/267.Ìý
  • Cutumisu, M., Ghoman, S. K., Lu, C., Patel, S. D., Garcia-Hidalgo, C., Fray, C., Brown, M. R. G., Greiner, R., & Schmölzer, G. M. (2020). Health care providers’ performance, mindset, and attitudes toward a neonatal resuscitation computer-based simulator: Empirical study. Journal of Medical Internet Research (JMIR) Serious Games, 8(4):e21855. PMID: 33346741. . Impact Factor: 5.43. Rank: 9% = 10/107.
  • Cutumisu, M., & Lou, N. M. (2020). The moderating effect of mindset on the relation between university students' critical feedback-seeking and learning.ÌýComputers in Human Behavior, 122.Ìý. Impact Factor: 6.83. Rank: 7% = 10/140.
  • Cutumisu, M., Schwartz, D. L., & Lou, N. M. (2020). The relation between academic achievement and the spontaneous use of design-thinking strategies.ÌýComputers & Education, 149, Article 103806. . Impact Factor: 8.54. Rank: 1.1% = 3/264.
  • Cutumisu, M. (2019). The association between critical feedback seeking and performance is moderated by growth mindset in a digital assessment game. Computers in Human Behavior, 93, 267-278. . Impact factor: 5.00. Rank: 5% = 4/87.

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Graduate supervision: 

Accepting Master's and Ph.D. students. Please find more information about my ALeRT lab .

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