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AI for Teaching & Learning Institute

Help Shape the Future of AI in Teaching and Learning 

The AI for Teaching & Learning (AI4TL) Institute is a national professional learning community that helps colleges and universities develop coordinated approaches to AI in teaching and learning. Through coaching, peer learning, and project-based collaboration, cross-functional campus teams will explore how AI can support student success and advance institutional goals. 

The Institute is led by College of the Canyons, Carnegie Mellon University, SUNY, and the California Community Colleges Chancellor’s Office in partnership with Axim Collaborative. 

Who Should Participate? 

Institutions should apply as a team of 4–6 members, including: 

  • Teaching faculty (minimum of 3) 
  • Professional staff (instructional designers, librarians, academic technologists, etc.) 
  • Academic leaders (department chairs, deans, or other administrators) 

Program Dates: January 15 – June 15, 2027 

Participants will engage in foundational learning, coaching, peer collaboration, and a team-based institutional project. 

Institutional Project Tracks 

Teams will select one of the following primary focus areas to guide their 5-month journey through the Institute: 

AI4TL Project TracksDescription
Updating Course Design and AssessmentsRedesigning syllabi, assignments, and rubrics to validate learning in an AI-augmented environment. These revisions should apply to more than individual classes and find utility across disciplines.
Developing Shared Guidelines for Teaching and LearningCreating institutional or departmental policies for academic integrity, AI ethics, and acceptable use in teaching and learning.
Designing Faculty Professional DevelopmentBuilding local train-the-trainer models or campus workshops to increase baseline AI literacy for teaching and learning.
Piloting AI-Supported Learning PracticesDeploying instructional or student-support interventions, such as agentic AI, tutoring, or personalized learning frameworks.
Student AI LiteracyDeveloping modules, workshops, or campaigns to equip students with the skills and knowledge to use AI safely and effectively for academic success.
Selecting AI Tools for Teaching and LearningDeveloping recommendations or evaluation checklists tailored specifically to the needs of teaching and learning.

Campus Team Application: AI4TL Institute Team Application

Frequently Asked Questions:

What is the AI for Teaching & Learning (AI4TL) Institute?

The AI4TL Institute is a national professional learning community that helps colleges and universities develop thoughtful, coordinated approaches to AI in teaching and learning. Through coaching, peer collaboration, and project-based work, participating campus teams build practical strategies, policies, and resources that support student success and responsible AI adoption.

How is this different from SUNY’s Supporting Faculty in the Responsible Use of AI, or “AI100” program?

AI100 focuses on helping individual faculty redesign courses and assessments for an AI-enabled world. The AI4TL Institute focuses on institutional change, bringing together cross-functional teams of faculty, staff, and administrators to develop campus-wide strategies, policies, professional development programs, and teaching and learning initiatives related to AI.

The two programs are complementary: AI100 supports course-level innovation, while AI4TL supports coordinated institutional action.

Why should our institution participate?

Many institutions are grappling with questions about AI’s role in teaching, learning, assessment, academic integrity, and student support. The AI4TL Institute provides:

  • Structured professional development and coaching
  • Access to AI experts and peer institutions
  • A framework for cross-campus collaboration
  • Support for developing institutionally relevant AI strategies
  • Opportunities to create and share practical resources that can benefit the broader higher education community

Participants leave with tangible products, stronger institutional alignment, and a clearer roadmap for AI adoption.

Who should be on our institutional team?

Teams should consist of 4 to 6 participants and include:

  • At least three teaching faculty members
  • Professional staff such as instructional designers, librarians, academic technologists, or teaching and learning center staff
  • Academic leaders such as department chairs, deans, or other administrators

The most successful teams bring together individuals who can influence both classroom practice and institutional decision-making.

How much time is involved?

The Institute runs from January 15 through June 15, 2027.

Participants should expect to engage in:

  • A self-paced online AI learning course
  • Monthly coaching meetings
  • Three virtual plenary sessions
  • Affinity-group discussions with peers
  • Team-based project development and implementation

Institutions should be prepared to support sustained participation throughout the five-month program.

What will participants learn?

Participants will build knowledge and skills related to:

  • AI literacy and responsible use
  • Evidence-based teaching and learning practices
  • Equity-centered approaches to AI adoption
  • Instructional design in an AI-enabled environment
  • Institutional policy development
  • Student support and success strategies

The program combines foundational learning with practical application.

What kinds of projects can teams pursue?

Institutions will select one primary project track:

  • Updating course design and assessments
  • Developing shared AI guidelines and policies
  • Designing faculty professional development programs
  • Piloting AI-supported learning practices
  • Promoting student AI literacy
  • Evaluating and selecting AI tools for teaching and learning

Projects should address an institutional need and produce resources that can be adapted or adopted by others.

What are the expected outcomes?

By the end of the Institute, teams will produce a tangible artifact related to their project, such as:

  • Revised syllabi or assessment frameworks
  • AI classroom guidelines
  • Faculty development programs
  • Student AI literacy materials
  • Tool evaluation frameworks
  • Institutional policies or recommendations

Artifacts will be openly licensed and shared as part of a national public-good repository.

Is this program focused on specific AI tools?

No. The Institute is not centered on promoting a particular platform or vendor.

Instead, participants will explore how AI can support teaching and learning while considering pedagogy, equity, ethics, student success, and institutional goals.

How does coaching work?

Each institutional team will be paired with an AI4TL Coach who provides:

  • Subject matter expertise
  • Structured guidance
  • Feedback on project development
  • Support for navigating implementation challenges

Coaches help institutions move from ideas to actionable outcomes.

Will participants collaborate with other institutions?

Yes. A major benefit of the Institute is the opportunity to learn alongside peers from broad-access institutions across the country.

Participants will engage through:

  • Institute plenaries
  • Affinity groups
  • Shared discussions and resource exchange
  • Opportunities to showcase project outcomes
Is there funding available?

Participating SUNY campuses will receive $10,000 to help offset participation-related expenses.

What research and evaluation activities are required?

The Institute includes a research and evaluation component led by the Research and Planning Group for California Community Colleges (RP Group).

Participants will be asked to:

  • Complete pre- and post-program surveys
  • Provide feedback about their experience
  • Contribute information about institutional progress and outcomes

Faculty implementing AI-informed instructional changes will also be asked to distribute a student survey within participating courses.

Does participation require implementing AI in every course?

No.

The goal is thoughtful, evidence-based exploration of AI’s role in teaching and learning. Institutions determine the scope of implementation that aligns with their goals, culture, and readiness.

What makes a strong applicant institution?

Strong applicants typically demonstrate:

  • Commitment to student success and educational opportunity
  • Interest in evidence-based teaching and learning practices
  • Institutional readiness to move beyond individual experimentation with AI
  • Support for cross-functional collaboration
  • Capacity to sustain engagement throughout the five-month program
What happens after the Institute concludes?

Institutions will leave with:

  • A completed project or implementation plan
  • Shared institutional knowledge about AI
  • Resources that can support future work
  • Connections to a growing network of peer institutions
  • Greater capacity to make informed decisions about AI in teaching and learning

The ultimate goal is to help institutions establish sustainable approaches to AI that advance their educational mission and improve outcomes for students.

Questions? Contact Judith Sebesta, Ph.D., Project Director, AI4TL Institute, at judith.sebesta@canyons.edu.