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Generative AI Community

Digital graphic with a blurred background of interconnected nodes and glowing blue and orange points of light. Center text states "championing intentional teaching practices in the age of AI", with a subtitle indicating it is a community of practice.

Overview

Interested in connecting with colleagues across Rutgers to think more deeply about generative AI in teaching and learning? The Generative AI Community of Practice is a supportive, interdisciplinary space for shared learning, discussion, and collaboration.

This virtual community is designed for ongoing conversation rather than one-off workshops. It is separate from the Teaching and Generative AI Pathways Program, so if you are working toward a Pathways badge, visit the Teaching and Generative AI Pathways Program page to see which events count toward your milestones.

Teaching and GenAI Pathways Program

Whether you’re just starting to think about GenAI’s impact on your classroom, actively experimenting with new approaches, questioning whether GenAI belongs in your teaching at all, or somewhere in between, this community is for you. We welcome all position titles, roles, and ranks, and we welcome critical, skeptical, and cautious perspectives alongside curious and enthusiastic ones. You’re welcome to attend as many or as few sessions as fit your schedule and interests. 

Community Leads

Five red circles in a row, each containing a professional headshot. Under the circles are names and titles of individuals: Crystal Akers, Linguistics, SAS; Anne-Michelle Marsden, Labor Management, SMLR; Xenia Morin, Plant Biology, SEBS, Crystal Quillen, Assistant Director, TIIP; and Monica Torres, Biological Sciences, SAS.

Meeting Schedule

This community meets virtually during the fall and spring semesters, on a monthly basis, with sessions led by faculty from across disciplines.

Fall 2026 Sessions

Fall sessions will take place on Mondays from 10:30–11:30 am unless otherwise indicated:

  • August 31 – Xenia Morin (Plant Biology, School of Environmental and Biological Sciences) will lead a discussion on syllabus and assignment policies for GenAI. We’ll also explore how these policies connect to our course learning goals. Bring your own policy statements to share!
  • September 10 (Thursday at 11am) – In this bonus session, guests Lucille Leung (Learning Centers) and Rick Anderson (UOES) will talk to us about the new GenAI resources and modules for students and instructors.
  • September 28 – Anne-Michelle Marsden (Labor Management, School of Management and Labor Relations) will lead a discussion focusing on insights from student surveys on GenAI usage and what students want to know about GenAI.
  • October 19 – Crystal Akers (Linguistics, School of Arts and Sciences) will practice her upcoming talk at OLC – Accelerate: Speed Limits, Signals, Speed Bumps, and Racetracks. It is focused on helping students develop judgments about when and how to use AI.
  • November 16 – Monica Torres (Biological Sciences, School of Arts and Sciences) will host lightning talks on increasing teaching efficiency with GenAI and navigating ethical considerations with student data. Let us know if you’d like to share something! 

How to Attend

  • Already a registered member of this community? You will receive calendar invitations for all fall GenAI community sessions.
  • Interested in joining as a new member? Complete our new member registration form to be added to these fall sessions.

Find GenAI and other teaching and learning events on our TIIP calendar! 

Join the Community

This community is open to all members of the Rutgers–New Brunswick community—including instructors of all ranks, TAs, postdocs, staff, and administrators—and welcomes new members on a rolling basis, with no deadline to join.

New Member Registration

Opportunities and Resources

Access resources and strategies to help you navigate generative artificial intelligence in your teaching practice.

Emergent Technologies