This half-day In-Person workshop aims to bring together educators, researchers, technologists, and designers to explore how collaborative AI systems can foster equity, inclusion, and cultural responsiveness in education. We're not accepting any paper submission; Instead, this workshop emphasizes hands-on, activity-driven participation. Join us for a day of dynamic engagement through design sprints, group brainstorming, and conceptual mapping activities focused on Human-AI collaboration in diverse educational contexts.
Key Topics and Themes
The workshop explores questions at the intersection of AI design, collaboration, and DEI (Diversity, Equity, and Inclusion), including:
Defining Human-AI Collaboration in education and learning contexts
Establishing the role of AI as a teammate vs. a tool
Methodologies for studying Human-AI teaming in collaborative environments
Exploring platforms, infrastructure, and technical design for AI teammates
Investigating psychological and social dynamics of Human-AI interaction
Examining the impact of AI on DEI
Understanding how AI surfaces and amplifies conversations about bias
Promoting Responsible AI design through inclusive and ethical frameworks
Considering how AI drives new urgency around DEI in education
Measuring inclusion with AI: Developing metrics to detect equity, participation balance, and belonging in collaborative settings
Facilitating inclusion and psychological safety: Designing AI teammates that respond to social dynamics, encourage voice, and mitigate marginalization
Building testable infrastructure: Identifying platforms, data pipelines, and experimental setups to evaluate Human-AI teaming in real-time, authentic learning environments
Reflecting on Universalisms and Cultural Specificities when Considering Equity in AIED
The day is structured around collaborative and experiential activities. Sample sessions include:
Introductory Presentation on Human-AI teaming and DEI in AIED
Invited Talks
Team Mapping Activity: Design an inclusive AI teammate for diverse classrooms
Trust Calibration Carousel: Explore what builds or erodes trust in AI teammates
Lightning Design Sprints: Prototype AI solutions for real-world educational equity challenges
Interactive Panels and Roundtable Discussions to share, critique, and iterate ideas
Collaborative Design Session focused on generating user-informed principles and visions for inclusive AI systems
The day is structured around collaborative and experiential activities. Sample sessions include:
Introductory Presentation on Human-AI teaming and DEI in AIED
Invited Talks
Team Mapping Activity: Design an inclusive AI teammate for diverse classrooms
Trust Calibration Carousel: Explore what builds or erodes trust in AI teammates
Lightning Design Sprints: Prototype AI solutions for real-world educational equity challenges
Interactive Panels and Roundtable Discussions to share, critique, and iterate ideas
Collaborative Design Session focused on generating user-informed principles and visions for inclusive AI systems
Organizers
Dr. Nia Nixon, University of California, Irvine
Jaeyoon Choi, University of California, Irvine
Seehee Park, University of California, Irvine