This is only available to faculty and staff members at Fort Lewis College.

It provides up to $300 in funding for AI subscriptions, which can include access to paid versions of LLMs (e.g., ChatGPT, Claude), AI development software, API credits, and more niche/industry-specific AI solutions.

An initial two-month subscription will be provided. At the end of the two months, a short project report will need to be completed, including a description of specific application areas.
‍
If the team or individual wants to extend their subscription, they must submit a Teaching with AI or a Full Project Proposal.

We accept applications through our online form. You'll want to prepare by being able to describe how your AI subscription or API credits will be used over the two month project. It's helpful if you can be as descriptive as possible in terms of use-cases and expected outcomes.

The following people are eligible to apply for funding:
Full-time FLC faculty members
Adjunct FLC faculty that have taught at FLC for at least 6 semesters or 30 academic credits
Full-time FLC staff
Owner or employee at a local business or non-profit organization
An individual from one of the Tribal Nations in our region
Local entrepreneurs (based within 100 miles of the Fort Lewis College Center for Innovation)

Funding can be applied to eligible resources, including professional support and external consulting, software subscriptions, educational courses, computing infrastructure, and the use of the Fort Lewis College Center for Innovation facilities.

All approved projects will include regular check-ins with the AI Institute’s support team.

The maximum project funding amount is $6,000.

We accept applications through our online form. You'll want to prepare by being able to describe your current level of expertise with AI, the problem you're looking to solve with AI, and be sure to address how this links to our local region and how it could benefit the larger community. You'll be asked to describe your proposed AI-driven solution, how you envision it working in practice, and the expected outcome or impact of your solution if implemented successfully.

100-level or 200-level course instructors will re-design their course to integrate AI to personalize and transform the learning experience for students.

This track will focus on using AI for equity with the goal of applying equity-focused principles, personalized learning, and student support strategies to increase retention of first-year students. (Note: This track is embedded in the Department of Education Digital Learning Grant: Pathways to Equity, Access and Student Success)

Individuals will receive a $1,500 stipend upon completing all of the requirementsIn addition to the stipend, up to $300 will be provided for subscriptions to relevant AI tools needed for the classroom implementation.

Faculty participants will work with the Center for Teaching and Learning (CTL) and will receive critical training on inclusive practices for first-year students, AI for learning design, and data-informed strategies.

CTL will also work with the faculty member to collect data regarding the impact of the integration of AI on student learning and other aspects of the classroom experienceAt the end of the academic semester, all participants will be required to submit a 2-3 page case study detailing the AI-based teaching innovation. This case study will be shared on the AI Institute’s webpage.

300-level or 400-level course instructors will re-design their course to integrate AI.

Level 2 proposals will involve an extensive integration of AI into a specific course that the faculty member selects. Level 3 proposals will involve the use of AI to personalize and transform the learning experience for students.

Individuals will receive a $500 stipend upon completing a Level 2 project and a $1,000 stipend for a Level 3 project. In addition to the stipend, up to $300 will be provided for subscriptions to relevant AI tools needed for the classroom implementation.

Faculty participants will work with the Center for Teaching and Learning (CTL) and receive critical consulting and support during the project’s duration. CTL will also work with the faculty member to collect data regarding the impact of the integration of AI on student learning and other aspects of the classroom experience.

At the end of the academic semester, participants are required to submit a 2-3 page case study detailing the AI-based teaching innovation. This case study will be shared on the AI Institute’s webpage.

We accept applications through our online form. You'll want to prepare by being able to describe your current level of expertise with AI.

If applying for the AI for Equity track, you'll need to describe existing equity gaps for marginalized students, how your project will help close them, and your expected outcomes for the integration of AI in your course.

If applying for the AI for Innovation track, you'll need to address how you will develop innovative learning experiences and your expected outcomes.