Welcome to the Assessment of Learning and Transfer (ALERT) lab! Maria Cutumisu is 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 is also an Adjunct Professor in the Department of Computing Science, Faculty of Science, University of Alberta. Her research draws on computing science and education 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). 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's AAA Lab. Her research interests include feedback processing and memory (SSHRC IDG), 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 (CanCode Callysto grants, CCTt tests, and SSHRC IG), AI in games (reinforcement learning in computer role-playing games) and behaviors for non-player character (NPC) agents in interactive computer games (NSERC CGS-D), and serious games (the RETAIN game for neonatal resuscitation). She has employed 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, electrodermal activity wearables, and electroencephalography) to provide a comprehensive understanding of student learning and memory processes (SSHRC IDG, Killam).