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Generative AI Grants – Curricular Development

Generative AI Grants – Curricular Development

Description

Grants awarded under this category are intended to support academic units and faculty members interested in integrating generative AI topics and uses into a disciplinary or interdisciplinary curriculum in impactful and sustainable ways.

Examples include:

  • Developing a new course on the use of generative AI with a disciplinary focus.
  • Developing and integrating AI-driven learning activities for high-enrollment courses (e.g., courses with multiple sections).
  • Creating discipline-focused AI literacy modules that can be plugged into courses across a curriculum.
  • Planning and initiating the development of a new specialization or track within or across disciplines.
  • Using generative AI to create personalized learning and tutoring experiences for students in introductory courses (e.g., custom GPTs).
  • Exploring and documenting how generative AI is likely to be used by students in disciplinary careers and implementing mechanisms for sharing and discussing that information with majors and instructors.

Grant Information

  • Grant amount: Up to $7500, based on scope of proposal
  • Appropriate use of funds: Salary support; licenses for software or online services
  • Multiple instructors can be part of a single proposal.
  • Projects under this category should be implemented no later than the Spring 2025 semester.
  • Grant recipients are expected to work with the CFE to refine project timelines, proposed deliverables, and strategies to evaluate the project.
  • The proposal deadline has been extended to Monday, May 6, 2024 at 5pm. Download the grant application (MS Word).
  • Applicants will be notified about decisions before Commencement.

Proposal Review Criteria

Applicability will vary according to project goals.

  • Extent to which proposal involves the student use of generative AI
  • Extent to which proposed AI uses require students to think critically in order to use generative AI effectively and requires them to reflect on their use.
  • Impact of implementation (e.g., number of students, curricular role of course or implementation)
  • Sustainability of proposed project (e.g., continued departmental support and strategies for updating the course moving forward)
  • Extent to which proposals helps prepare students to use generative AI in real-world situations
  • Degree of innovation
  • Extent to which scope of proposal is consistent with funds requested.
  • Funded projects represent a diverse range of disciplines.