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AI-related course grants | Center for Teaching Excellence Center for Teaching Excellence The Center for Teaching Excellence will offer grants of $500 to support student-centered, equity-oriented integration of generative artificial intelligence tools and assignments into courses this fall or in Spring 2025.
Since ChatGPT was released in late 2022, educators have struggled to adapt assignments and assessments to AI tools that can generate writing and code, provide data analysis, find information, and complete other analytical tasks. Surveys suggest that growing numbers of faculty have at least tried generative AI, but students have integrated it into their work in greater percentages and with greater speed.
Generative AI comes with clear ethical and pedagogical challenges. Students must still learn disciplinary skills, hone their critical thinking, push their creativity, and challenge themselves intellectually. Simply offloading the challenging work of learning to generative AI helps no one.
Banning generative AI isn’t a solution, though, and AI detectors are fraught with biases and false positives. The best approach to handling generative AI is to accept it as part of students’ work processes and find ways to integrate it into courses in ways that maintain learning. That’s why we are offering these grants.
We seek concrete proposals to integrate generative AI into courses while maintaining student learning. We are especially interested in approaches that: Use authentic assignments to help students explore generative AI while maintaining core learning. Help alleviate barriers and disparities in digital skills that continue to affect minoritized students.
Partner with students to find satisfactory approaches to integrating generative AI into coursework while maintaining academic integrity. Help students explore the weaknesses of generative AI while also learning how to use it productively. Empower students to approach learning in new ways and push themselves out of their comfort zones.
Stress the importance of humanity in learning even when using technology. Allow others to adapt the approach in other classes and disciplines. Develop sustainable approaches that don’t require constant expenditure.
Build trust among students and faculty so that everyone can focus on learning rather than detection. Use inclusive, evidence-based teaching practices that improve opportunities for students to learn through hands-on work rather than lecture. Proposals should draw on free or open-source tools so that success on assignments does not require students to spend additional money.
Faculty may use funds to pay for software or other tools for students and themselves, but we have found that new KU budget rules make that difficult because approval takes weeks or months. We are also looking for approaches that can be sustained beyond the grant period. We expect all projects to be implemented by Spring 2025.
Because of the approval challenges, it will probably be easiest to draw on already available tools. These include Microsoft Copilot , which provides an additional layer of privacy when used with a KU account; Hugging Face , a platform whose free tier provides access to a wide range of platforms; NotebookLM , a Google tool that allows extensive upload of material for analysis; and the many open source projects available on GitHub .
Those are just suggestions, not requirements. You are welcome to use other tools, but you should keep privacy policies, student access, and sustainability in mind. Eligibility and expectations Faculty (including teaching professors, teaching specialists, and lecturers with ongoing teaching roles in their department) from any department or program at the KU Lawrence or Edwards campuses are eligible.
Postdoctoral fellows and students are welcome to be part of faculty-led teams. Grant awardees are expected to share the results of their work, including a summary of student learning and other outcomes, at CTE's annual Celebration of Teaching on May 9, 2025. A CTE Graduate Student Fellow will assist you in developing your poster for this event.
Projects that emerge from the grants may also be used, with credit, in CTE course materials related to generative AI. Proposals should be submitted by 5 p. m.
Monday, Sept. 23 . We anticipate notifying applicants of funding decisions by Monday, Sept.
30, and funds will be available to successful applicants shortly thereafter. Submissions should be limited to 2 pages. Submit your application using this application submission survey .
Your proposal should include: Course Information. A brief description of the course(s) you are working on and when the transformed course(s) will be taught. Project Proposal.
A clear statement of the proposed work on your course, addressing the following questions: How do you plan to integrate generative AI into your course and what tools will you use? Why do you plan to use this approach? How will you know if your project is effective?
If your project involves more than one person, what are your roles in the project? How will you help students understand the privacy risks of the AI tools you use? Use of Funds.
The $500 FY25 state fund will be transferred to your department. It can be used for resources or events that will enhance a course or set of courses, such as: Costs associated with initiating engaged learning experiences for your students. Support for a graduate student or undergraduate student to assist with the design of activities or implementation or assessment of course transformation efforts.
Books or other publications on teaching innovations. Hourly support for an undergraduate peer mentor or teaching assistant. Supplies and software for implementing new learning activities or assignments (note that if the supply/software requires renewal each year, you will need to address how you will sustain the innovations in future years without grant funding).
Selection Criteria. The highest funding priority will be given to proposals that: Provide clear goals and rationale. Include an assessment of the impact of changes on student learning.
Support sustainable course revisions that have the potential to last beyond the funding period or have other long-lasting outcomes. Show promise for use in other classes and disciplines. Include a commitment to share the work with the KU community through workshops, the Teaching Summit, and other appropriate ways.
Questions? Contact Doug Ward , CTE associate director, or Omar Safir , CTE data and assessment coordinator.
Based on current listing details, eligibility includes: University of Kansas faculty. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $500 Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Improving Undergraduate STEM Education: Education & Human Resources (IUSE: EHR) Program is sponsored by National Science Foundation (NSF). This program promotes novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students. It supports projects that bring recent advances in STEM knowledge into undergraduate education, adapt, improve, and incorporate evidence-based practices, and lay the groundwork for institutional improvement in STEM education. Professional development for instructors to ensure adoption of new and effective pedagogical techniques is a potential topic of interest.
The National Leadership Grants for Libraries Program (NLG-L) supports projects that address critical needs of the library and archives fields and have the potential to advance practice and strengthen library and archival services for the American public. Successful proposals will generate results such as new models, tools, research findings, services, practices, and/or alliances that can be widely used, adapted, scaled, or replicated to extend and leverage the benefits of federal investment. Applications to IMLS should both advance knowledge and understanding and ensure that the federal investment made generates benefits to society. Specifically, the goals for this program are to generate projects of far-reaching impact that: • Build the workforce and institutional capacity for managing the national information infrastructure and serving the information and education needs of the public. • Build the capacity of libraries and archives to lead and contribute to efforts that improve community well-being and strengthen civic engagement. • Improve the ability of libraries and archives to provide broad access to and use of information and collections with emphasis on collaboration to avoid duplication and maximize reach. • Strengthen the ability of libraries to provide services to affected communities in the event of an emergency or disaster. • Strengthen the ability of libraries, archives, and museums to work collaboratively for the benefit of the communities they serve. Throughout its work, IMLS places importance on diversity, equity, and inclusion. This may be reflected in an IMLS-funded project in a wide range of ways, including efforts to serve individuals of diverse geographic, cultural, and socioeconomic backgrounds; individuals with disabilities; individuals with limited functional literacy or information skills; individuals having difficulty using a library or museum; and underserved urban and rural communities, including children from families with incomes below the poverty line. Application Process: The application process for the NLG-L program has two phases; applicants must begin by applying for Phase I. For Phase I, all applicants must submit Preliminary Proposals by the September 20th deadline listed for this Notice of Funding Opportunity. For Phase II, only selected applicants will be invited to submit Full Proposals, and only those Invited Full Proposals will be considered for funding. Invited Full Proposals will be due March 20, 2024. Funding Opportunity Number: NLG-LIBRARIES-FY24. Assistance Listing: 45.312. Funding Instrument: G. Category: AR,HU. Award Amount: $50K – $1M per award.
The California Department of Education (CDE) Early Education Division is making approximately .7 million available to expand California State Preschool Program (CSPP) services statewide, appropriated under the 2021 Budget Act. Eligible applicants are local educational agencies (LEAs), including school districts, county offices of education, community college districts, and direct-funded charter schools—both current CSPP contractors and new applicants. Funding supports full-day/full-year or part-day/part-year preschool services for income-eligible children beginning in FY 2024–25. Awards are allocated by county based on Local Planning Council priority areas and application scores, with redistribution provisions if county allocations are underutilized.