Human-Centered AI
Designing AI systems that support care-aware decision-making, trust, and accessible learning.
Interdisciplinary work in computer science, learning sciences, affect studies, and human-centered technology.
Computer Science is perpetually evolving, constantly pushing the boundaries of innovation. Yet, while its innovations continually reshape our future, there is an emerging understanding that the way we learn about technology and its intent matters.
Led by Dr. Preeti Raman, the Computational Innovations and Research for Care-centered Learning and Education (CIRCLE) Lab, in the Department of Computer Science at Toronto Metropolitan University, stands at the forefront of this pedagogical movement.
Designing AI systems that support care-aware decision-making, trust, and accessible learning.
Designing data studies to improve learning outcomes, mentoring, reflection, and participation.
Computing systems that support care-centered practices, wellbeing, and responsive interventions.
Tools and infrastructures for collaborative learning, distributed work, and collective care.

Exploring care-centered approaches to computing, educational design, and human flourishing.
Supporting collaboration, teamwork visibility, and progress tracking in shared coding environments.
Using scenario-based prompts and guided decision-making to support practice and reflection.
New lab photos are organized by event so community moments are easier to browse.
Watch this space for seminars, panels, student milestones, and collaboration updates.
Recent work, accepted papers, and project notes will continue to be shared through the lab blog.
Ahmad, A., & Raman, P.
INTED2024 ProceedingsRaman, P. & Yearwood, L.
Paper presented at AERA 2024Singh, H.
Roundtable Presentation at AERA 2024
TEACHING SYSTEMS LAB
ENCORE LAB