The CU System Artificial Intelligence (AI) Sprint Grant: AI for Teaching & Learning is focused on improving course outcomes using AI with goals of supporting and accelerating innovative teaching practices that leverage AI to enhance student learning. This grant is designed to provide faculty with the resources and time needed to develop and implement AI-driven pedagogical strategies for the specific purpose of increasing student performance relative to the learning goals/outcomes of a single course. The 'sprint' structure is designed to meet the pace of AI evolution, and in doing so, foster an environment of experimentation and growth with meaningful, of-the-moment outcomes toward improving student learning.
Recipients may receive a maximum of $20,000 to cover expenses, which can include support toward a course buyout. The grant must be executed within two standard academic semesters of receipt. This allows potential development activities in one semester and execution in their course the subsequent semester.
An advisory board composed of faculty from across CU actively engaged with AI in their pedagogical practice, will consider proposals and make funding recommendations to the president based on eligibility and proposal requirements.
Successful proposals for the CU System AI Sprint Grant: AI for Teaching & Learning describe AI-driven pedagogical strategies for the specific purpose of increasing student performance relative to the learning goals/outcomes of a single course.
The current deadline for proposal submissions is March 30, 2026.