Human-Centered AI
Designing AI systems that support care-aware decision-making, trust, and accessible learning.
Computational Innovations and Research for Care-centered Learning and Education
Interdisciplinary work in computer science, learning sciences, affect studies, and human-centered technology.
Research Focus
Learning Analytics
Designing data studies to improve learning outcomes, mentoring, reflection, and participation.
Digital Health & Care Technologies
Computing systems that support care-centered practices, wellbeing, and responsive interventions.
Collaborative Computing
Tools and infrastructures for collaborative learning, distributed work, and collective care.
Meet the Team
Projects Highlight
Caring Computing
Exploring care-centered approaches to computing, educational design, and human flourishing.
CollabCode
Supporting collaboration, teamwork visibility, and progress tracking in shared coding environments.
Rehearsals
Using scenario-based prompts and guided decision-making to support practice and reflection.
Recent Publications
Automated Analysis and Grading of Privacy Policies: AI-DRIVEN Approach for User-Centric Dashboard
Ahmad, A., & Raman, P.
INTED2024 ProceedingsSharing the Burden of Care: Explorations Into the Role of Technology, Pedagogy, and the Learning Community
Raman, P. & Yearwood, L.
Paper presented at AERA 2024Using Musical Robots to Increase Diversity in Computer Science
Singh, H.
Roundtable Presentation at AERA 2024New Grant Awarded
April 15, 2024
Continuing work on equitable mentoring, care-centered AI, and collaborative learning support.
View All NewsNew Publication Accepted
April 4, 2024
New findings on online collaboration, care infrastructures, and classroom analytics were accepted.
View All NewsCollaborators
Toronto
Metropolitan
University
TEACHING SYSTEMS LAB
ENCORE LAB
vector