A Research–Practice Co-design Lab Advancing Equitable Artificial Intelligence (AI) Design in Education

AI Teach Lab logo

AITeach is a developing researcher–practitioner partnership where educators, families, civic organizations, and EdTech companies co-design not only AI tools but also the systems that make them work in real classrooms.

Based in the faculty of Fine Arts, Humanities and Social Sciences and the School of Education, AITeach exists to strengthen AI-related teaching, scholarship and partnerships for faculty and students, while also serving university-wide AI goals and community interests. It aims to develop courses, professional learning opportunities, and collaboration among disciplines, professions, and communities.

AITeach Helps Collaborators Move from “Idea to Pilot” to “Reusable Learning”

  • Convene working sessions that introduce project “seeds,” form collaborative groups, and support proposal/pilot progress through co-design principles
  • Co-design projects and learning experiences with faculty, students and community members actively involved in design and study. 
  • Build shared infrastructure (network maps, routines, reusable templates) that make it easier to do responsible AI-in-education work across units and partners.

The lab uses structured periodic lab convenings for collaborators to share and discuss new ideas and recruit and project studios for co-work on design, grant-making and implementation. The lab maintains practical documentation and tools that collaborators reuse and update — such as grant-making and evaluation language, professional learning outlines and Generative Pre-trained Transformers (GPTs). 

For UML faculty and students 

  • A resource for expertise, technology, and labor to turn questions about teach, learning, and AI into courses, studies, guidelines, policies, and publishable work.
  • Experiential learning and research opportunities for undergraduate and graduate students through existing fellowship mechanisms as available.  

For schools and districts 

  • Co-designed professional learning, tools, and support grounded in real instructional needs.  
  • Partnership pathways for district-based teaching/learning initiatives.  

For partners (nonprofits, EdTech entrepreneurs community organizations) 

  • A pool of diverse thought partners representing multiple disciplines and sectors.
  • Collaborative design and evaluation pathways that generate ideas, feedback, evidence, and improvements for real educational contexts. 

  • Working sessions that connect collaborators and advance projects. 
  • A living map of relevant activity (people, projects, courses, partners) to support coordination. 
  • Teaching, professional learning, and proposal development artifacts (e.g., modules, assignments, outlines and templates)

Want to Learn More?

Interested in collaborating or bringing a project idea?  Email Bernardo_Feliciano@uml.edu