Research, Funding, and Awards

  • CETL AI Teaching Innovation Faculty Mini-Grants

    CETL AI Teaching Innovation Faculty Mini-Grants 2025: Call for Participants   

    Brief Description: Artificial intelligence, especially generative AI (GAI), is transforming higher education, research, and teaching. Faculty planning to teach in 2025-2026 are invited to apply for a grant to support the redesign of an existing course to include activities and assignments that engage GAI. The grant is not for using GAI to develop course materials by the instructor, but rather to develop AI fluencies in undergraduate or graduate students (for example: prompt engineering; critical evaluation of AI output; image and data visualization; AI to support homework/learning outside of class; ethical aspects; etc.). Please consult this framework for additional information. Recipients of the grants will be supported in redesign.   

    Who Should Apply: Full-time faculty (tenured, tenure track, clinical, and in residence) and adjuncts with at least 5 cumulative semesters teaching at UConn in the last five years; teaching in AY 2025-2026.  

    Deadline: March 21, 2025   

    Funding: $2,000 per 3-credit course, prorated. In most cases, grants will be provided via transfer to faculty research accounts.   

    Commitment and Deliverables:   

    • Participate in at least two CETL workshops on AI integration into teaching and learning offered in April and May, 2025.  

    • Consult with CETL staff and faculty affiliates throughout the redesign process during summer 2025.   

    • Submit a preliminary plan, by June 13, for implementation of revised course, including timeline and support needed.  

    • Submit a syllabus and corresponding materials, by September 2, 2025, representing significant (approximately 30%) course revision to integrate AI. 

    • Assessment of the redesigned course or course elements (CETL staff will support development of an assessment plan).  

    • Share experiences or results through CETL workshops in academic year 2025-2026.  

       

    The number of mini-grants is limited. Priority will be given to proposals that describe:  

    • an AI-related activity in which student work is assessed in some way;   

    • a plan to assess the redesigned elements, such as a pre- and post-survey of student perceptions;  

    • hands-on student work with AI;