Professor Profiles

Maria_Cutumisu

Maria Cutumisu, Ph.D.

Assistant Professor (Education), Adjunct Professor (Computing Science)

Education | Science

Educational Psychology | Computing Science

About Me

Postdoctoral Scholar, Stanford Graduate School of EducationChoice-based Assessments in Online Game Environments. Supervisor: Dr. Daniel L. Schwartz (AAA Lab)

Ph.D., Department of Computing Science, University of Alberta, 2009. Using Behaviour Patterns to Generate Scripts for Computer Role-Playing Games. Supervisor: Dr. Duane Szafron (Software Systems Lab)

M.Sc., Department of Computing Science, University of Alberta, 2003. Multiple Code Inheritance in Java. Co-supervisors: Dr. Duane Szafron, Dr. Paul Lu (Software Systems Lab)


Research

Dr. Maria Cutumisu is an Assistant Professor in the Department of Educational Psychology, Faculty of Education, at the University of Alberta in the area of Measurement, Evaluation, and Data Science. She is also an Adjunct Professor in the Department of Computing Science at the University of Alberta. Her research draws on computing science and education. She graduated with an M.Sc. and a Ph.D. in Computing Science from the Department of Computing Science, University of Alberta and she was a postdoctoral scholar in the AAA Lab at the Stanford Graduate School of Education. Her research interests include feedback processing (SSHRC grant), automatic feedback generation (NSERC grant), game-based assessments that support learning, computational thinking (e.g., the Callysto grant), AI in games (e.g., reinforcement learning in computer role-playing games), serious games (e.g., the RETAIN game for neonatal resuscitation), as well as virtual character (i.e., agent) behaviours in interactive computer games and their applications in education. She has investigated the impact of K-16 students’ choices (e.g., willingness to choose critical feedback from interactive virtual characters and to revise) on learning outcomes within an online game-based assessment environment to understand how prepared students are to learn and innovate. She uses psychophysiological techniques (e.g., eye-tracking, electrodermal activity measures, and EEG) to provide a comprehensive understanding of students' learning and memory processes (SSHRC grant and Killam grant). She is also affiliated with the Centre for Research in Applied Measurement and Evaluation (CRAME), the Centre for the Studies of Asphyxia and Resuscitation (CSAR), Centre for Mathematics, Science, and Technology Education (CMASTE), and with the Neuroscience and Mental Health Institute (NMHI) at the University of Alberta.


Teaching

Graduate Courses
  • EDPY 500 Introduction to Data Analysis in Educational Research
  • EDPY 597 Educational Data Mining II (using DataCamp)
  • EDPY 597 - Machine Learning Theory and Application (Fall 2020)
  • EDIT 486/EDPY 597 Interactive Multimedia: Building Video Games for Teaching and Learning
  • EDU 575 Theory and Practice in Educational Technology
  • EDPY 599 - Deep Learning in Education: Independent Study Course
Undergraduate Courses
  • EDU 210 - Introduction to Educational Technology
  • EDPY 303 - Educational Assessment
  • EDIT 486 Interactive Multimedia: Building Video Games for Teaching and Learning