Introduction

As PhD candidate at OISE, University of Toronto I have combined my expertise in computer science with my passion for the learning sciences. Holding a BSc in Computer Science and an MA in Knowledge Building, my PhD contributes to the field of learning community research, designing innovative software solutions to foster social and collaborative learning (e.g., IKIT's Knowledge Forum, ENCORE Lab's Common Knowledge Board, and UC Berkeley's WISE). My research contributes to co-regulation of learning (CoRL), adaptable (collaboration) scripts, and adaptive learning systems. Currently, I am investigating AI for detecting students’ knowledge integration and adding pedagogical intelligence to AI content generation and adaptation.

I am also greatly interested in both social and cognitive theories of learning (i.e., multimedia learning theory, cognitive load theory, and engagement--i.e, ICAP, as well as social-constructivist approaches to learning such as Knowledge Integration and collective, inquiry-based learning to immerse students in meaningful work with curriculum concepts and one another's ideas). I have played key roles as both product and project manager for the CK Board collaborative learning environment and guided feature development for SCORE (SCripting and ORchestration Environment). As a graduate researcher, I have contributed to a variety of teacher-driven action research studies and teacher-researcher co-design of design-based research studies.