At a Glance

How should your course change in a world where students have access to AI?

Maybe an assignment no longer works the way it used to. Maybe you want to rethink what students should do on their own. Or maybe you see an opportunity to try something new.

The AI-Aware Course Adaptation Pilot gives MIT Sloan faculty two ways to explore those questions with our team, running at the same time. Track 1 is a workshop series open to all faculty. Track 2 offers hands-on support for a specific course, with projects selected from interest form submissions.

Track 1: Explore — Workshop Series

Open to all MIT Sloan faculty.

  • Three workshops on teaching in a world with AI, whether you’re just starting to think about it or already experimenting. Learn more about Track 1.
  • Planning to attend? Submit the interest form and then RSVP to the Outlook invite for each workshop.

Track 2: Build — Supported Projects

Cohort 1: About 6–10 faculty projects. Interest form required.

Hands-on support to develop a specific project for your course. Projects can be small or ambitious, and your idea can be at any stage, from an early question to a clear plan.

Track 1: Explore — Workshop Series

Join us for one workshop or the full series. Submit the interest form to let us know you’re coming. Outlook invites for each workshop will be sent soon, so watch for them and RSVP to each one.

Workshop 1: What Should Students Learn Now?

Bring your syllabus to this hands-on workshop and use a trusted framework to decide what to keep and rethink for AI.

  • When: Friday, November 6, 2026, 9:30–11:00 AM (breakfast 9:00–9:30 AM)
  • Where: E62-350
  • Led by: Shallon Silvestrone, Jillian Rubman, and Andrea Flores

Workshop 2: Designing AI-Resilient Assignments

Explore practical approaches to designing assignments that preserve meaningful learning when students have access to AI.

  • When: Friday, December 4, 2026, 9:30–11:00 AM (breakfast 9:00–9:30 AM)
  • Where: E62-350
  • Led by: Tawnya Means, PhD

Workshop 3: Faculty Showcase

Hear from faculty participating in Track 2 as they share what they explored, how their projects evolved, and what they learned along the way.

  • When: TBD
  • Where: TBD
  • Presented by: Cohort 1 participants, moderated by Rodrigo Verdi and Dylan Girard

Track 2: Build — Supported Projects

Track 2 is for faculty who want hands-on help with a specific course. Our learning experience designers and learning technologists work with you as partners. Depending on your project, a research assistant (RA) may also work with you directly. You don’t need to arrive with a finished plan, because shaping the plan is part of what we do together.

Track 2 runs in cohorts. Cohort 1 is our first group of about 6–10 faculty projects.

How Track 2 Works

1. Tell Us What You’re Thinking

Submit the interest form by Wednesday, November 4, 2026. Share a little about your course, what you’d like to explore, and when you’ll next teach it. The form is a starting point for a conversation.

2. Hear Back From Us

The Office of Teaching & Learning and STS Teaching & Learning Technologies will review submissions. For Cohort 1, we expect to work with about 6–10 faculty projects, and may include more depending on scope and capacity.

If your project isn’t selected for Cohort 1, we’ll still follow up with other ways to support it, such as a future cohort or the workshop series.

3. Meet With the Team and Develop Your Project

If your project is selected, we’ll meet with you to set the scope, plan, and timeline, then work with you to develop it.

What a Project Could Look Like

A project might focus on:

  • Redesigning an assignment, assessment, or course policy in response to AI
  • Helping students learn to use AI effectively and responsibly
  • Incorporating AI into an existing assignment, activity, or case
  • Creating a new AI-enabled learning experience, such as a coach, simulation, or interactive case
  • Exploring, prototyping, or building an AI tool for your course

Every project results in something concrete for your course, such as a redesigned assignment, a simulation, or an AI tool.

What Support Looks Like

Depending on your project, support may include:

  • Pedagogical consultation and thought partnership
  • Assignment and learning experience design
  • Technical consultation and help choosing tools
  • AI tool exploration and prototyping
  • Research assistant (RA) support
  • Limited funding for course innovation

We’ll work with you to identify the support that best fits your project and our team’s capacity.

What We Ask of Track 2 Participants

This pilot is both a course development initiative and a chance for us to learn what support is most valuable across MIT Sloan. Participating faculty are asked to:

  • Work with the pilot team to scope the project and timeline
  • Develop a concrete outcome for your course, ready for your next offering of it
  • Attend the Track 1 workshop series with your cohort (strongly encouraged)
  • Present your project and what you’ve learned at the Faculty Showcase (Workshop 3)
  • Share what you learned, which support helped most, and what might be useful for other MIT Sloan courses

Meet the Pilot Team

The pilot is a collaboration between the Office of Teaching & Learning and Sloan Technology Services (STS). You’ll work with team members based on your project’s needs.

Office of Teaching & Learning

  • Rodrigo Verdi – Deputy Dean for Degree Programs, Teaching and Learning
  • Dylan Girard – Senior Associate Director, Teaching Services
  • Stephanie Taverna – Assistant Director, Teaching Services
  • Research Assistants (RAs) – May support individual projects with research, content development, testing, or other project-specific work

STS Teaching & Learning Technologies

  • Jason Alvarez – Director of Teaching & Learning Technologies
  • Learning Experience Design
    • Shallon Silvestrone – Senior Associate Director of Learning Experience Design
    • Jillian Rubman – Lead Learning Experience Designer
    • Andrea Flores – Senior Learning Experience Designer
  • Learning Technologies

Other STS teams may also contribute to projects when additional technical expertise or support is needed.

Support

Email sloanteachingandai@mit.edu to share your thoughts or learn more about this pilot program.