I am a researcher and full-stack developer operating at the intersection of education and technology. Currently a Ph.D. candidate in the ENCORE Lab at OISE (University of Toronto), my work focuses on Computer-Supported Collaborative Learning (CSCL) and Human-AI Collaboration.
Unlike traditional researchers, I don't just study learning environments—I build them. I leverage my background in Python, cloud infrastructure, and full-stack development to create adaptive, technology-supported activity patterns. My research relies on co-designing with practitioners to blend teacher intuition with data-driven insights, resulting in tools that support engagement and co-regulated learning.
Beyond my dissertation, I am the founder of the Crowd Tutor Foundation, a not-for-profit tech startup dedicated to accessible education. You can read more about my technical builds and research on my Projects page.
University of Toronto — OISE | Toronto, ON
Ph.D. Candidate, Curriculum & Pedagogy | Current Collaborative Specialization in Knowledge Media Design (KMD)
Focus: Computer-Supported Collaborative Learning (CSCL) and Human-AI Collaboration.
Lab: ENCORE Lab.
Master of Arts, Curriculum & Pedagogy Collaborative Specialization in Knowledge Media Design (KMD)
Requirements Completed
University of Manitoba | Winnipeg, MB
B.Sc. Computer Science (Co-op Option) | 2015 First Class Honours
Concentrations: Artificial Intelligence, Web-based Systems, Software Engineering.
Minors: Philosophy, Religion.
Relevance: This technical degree provides the engineering foundation for my current work in developing adaptive learning systems and data extraction tools.
I am always interested in discussing the intersection of learning sciences and software architecture. Whether you have questions about my research on co-regulation, want to discuss full-stack development for education, or are looking for a collaborator on a technical project:
Email: me@joelwiebe.ca