Call for Applications: AI Educators Pilot

The MIT Schwarzman College of Computing is piloting a new weeklong summer workshop for faculty at institutions nationwide to gain hands-on experience in modern concepts of artificial intelligence, their applications to modeling, and strategies for classroom implementation.

Participants will engage with MIT faculty and instructors in collaborative sessions to explore the underlying pedagogical framework, examine how the materials function in practice, discuss adaptations for varied institutional contexts, and align on effective teaching approaches. Faculty will return to their institutions with classroom-ready materials, strengthened peer connections, and access to an ongoing support community that extends beyond the workshop.

The pilot is part of the Computing Commons, a new initiative to extend the educational impact of the Common Ground for Computing Education, which develops classes that blend computing with other disciplines at MIT. By working directly with academic institutions and their faculty, the aim of the Computing Commons is to build on institutional strengths and communities to serve students in ways that integrate seamlessly with their broader educational experience.

The weeklong workshop will be held this summer at the MIT Schwarzman College of Computing in Cambridge, MA. There is no cost to participate; travel, lodging, and related expenses are the responsibility of participants or their institutions

AI Educators Pilot workshop dates:

  • Session 1: July 13-17, 2026
  • Session 2: July 20-24, 2026
  • Session 3: July 27-31, 2026

The deadline to apply is May 1, 2026.

Apply Here

Who Should Apply

We seek participants who:

  • Currently teach computer science, engineering, mathematics, statistics, or related fields.
  • Have teaching experience in computational subjects.
  • Are motivated to expand student access to AI and computational tools.
  • Demonstrate interest in timely integration of AI concepts into their teaching. Prior experience with AI is not required. Familiarity with basic mathematical reasoning and programming is expected.

What Participants Will Gain

  • An understanding of modern AI concepts and applications.
  • Ready-to-use teaching modules and activities adaptable across disciplines.
  • Strategies for equitable and accessible AI education.
  • Membership in a community of AI-focused educators.

Application Materials

Applicants will be asked to provide:

  • Background information and teaching role.
  • Summary of mathematical and computational experience (e.g., algebra, linear programming, programming experience).
  • Motivation for participating and anticipated instructional impact.
  • Evidence of institutional support (short statement from your department chair, department head, or dean).
  • Description of how outcomes will be shared with colleagues or students.

Selection Criteria

Participants will be selected based on:

  • Alignment with target teaching fields, such as computer science, engineering, math, and computation.
  • Mathematical and computational readiness.
  • Strength of motivation and implementation plans.
  • Institutional support and potential for broader impact.

Late or incomplete applications will not be considered.

Apply Here

Questions?

Contact: ai-educators@mit.edu