Dr. Muis' research involves the development and refinement of educational assessment tools/tech, striving to improve the learning process and understanding of educational concepts and the evaluation of students’ acquired knowledge.

Dr. Lajoie examines intelligent tutoring systems and uses computer-based teaching and learning to improve student engagement, problem-solving, and self-regulation.

Michael's research explores online learning environments of university students from different socioeconomic backgrounds, examining how technology impacts multicultural learning and development.

Adam’s EdTech research helps to shape industry guidelines for digital learning and provides tech developers with best practices and policies grounded in educational psychology.

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.

Armando’s research involves working with youth (aged 4 to 21) who have neurodevelopmental conditions, to develop a computer-based attention training program for scholastic settings.