The University of Colorado system has announced the launch of three new awards and grants aimed at promoting innovative uses of artificial intelligence (AI) in teaching, learning, and scholarly work across its campuses. The initiative is a collaboration between the CU system Office of Academic Affairs and the Office of the President.
The university is seeking nominations and proposals for these AI-focused opportunities: the CU System AI Recognition Award for Teaching & Learning, the CU System AI Recognition Award for Scholarly & Creative Work, and the CU System AI Sprint Grant for Teaching & Learning.
The CU System AI Recognition Award: AI for Teaching & Learning will honor faculty who have used AI in creative ways to improve student learning outcomes that align with course goals. The award also recognizes work that extends beyond individual courses. According to the university, “By recognizing and rewarding creative, effective uses of AI in pedagogy that produce meaningful student outcomes, the University of Colorado system aims to foster a culture of innovation and excellence in AI-enhanced teaching.” Tenure or tenure-track faculty as well as full-time and instructional series faculty are eligible to apply. Nominations are due by March 30, 2026.
The CU System AI Recognition Award: AI for Scholarly & Creative Work is intended for faculty whose use of artificial intelligence has led to significant outcomes in their research or creative projects with an impact on their field. The university states, “By acknowledging and rewarding impactful applications of AI in scholarship and creative practice, the University of Colorado system aims to cultivate a culture of innovation among its faculty.” Eligibility criteria are similar to those for the teaching award, with a nomination deadline also set for March 30, 2026.
Additionally, the CU System Sprint Grant: AI for Teaching & Learning supports efforts to enhance course outcomes through innovative teaching practices using AI. This grant provides resources and time so faculty can develop strategies that aim to improve student performance within a single course. The university notes that “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.” Applications are open until March 30, 2026.
Faculty interested in these opportunities can contact the Office of Academic Affairs for more information.
