Inquiry Learning

Metacognition and SRL

Intelligent Tutoring Systems

Dynamic Assessments

Cognitive Modeling

Research

My work seeks to improve learning by understanding how and under what conditions learning takes place. I focus on understanding and designing tasks, support, and environments that help learners acquire expertise in science and mathematics. I pursue this endeavor with three goals in mind: To understand how students learn, to use this knowledge to design effective instruction, and to capitalize on this promise by supporting implementation by teachers in a scalable and sustainable manner, often using technology. Thus, my work is rooted in Pasteur Quadrant, contributing to the science of learning as well as engineering better opportunities for learning.

I approach these questions by creating a synergy between the art of education, the understanding of cognition, the engineering of adaptive technologies, and the method of science. More specifically, my research focuses on the following themes:
◆ Inquiry learning and reasoning with datag
◆ Metacognition and self-regulated learning
◆ Intelligent tutoring systems and intelligent exploratory environments
◆ Dynamic assessments
◆ Cognitive modeling and educational data mining