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Teaching for the Future: AI Course Integration Grants is a grant from the University of Kansas Center for Teaching Excellence that funds faculty to integrate generative artificial intelligence into their courses in student-centered, pedagogically sound ways.
Awards of $500 support course redesign for the Fall 2025 and Spring 2026 semesters, with a required AI literacy component covering how AI works, effective use, ethical considerations, and societal impact. Awardees participate in a learning community to develop course materials and must include an AI literacy plan in their proposals.
Eligible applicants are faculty at the University of Kansas seeking to embed meaningful, sustainable AI integration into their teaching practice.
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Teaching for the Future: AI Course Integration Grants | Center for Teaching Excellence Center for Teaching Excellence Teaching for the Future: AI Course Integration Grants The Center for Teaching Excellence invites proposals for grants to support student-centered integration of generative artificial intelligence into courses for the Fall 2025 and Spring 2026 semesters.
Building on last year’s program, we are increasing the funding levels and adding an AI literacy component for both faculty and students. We are focusing this year’s grants on AI literacy. By AI literacy, we mean helping students understand how AI works, how to use it effectively, why it needs to be used carefully and skeptically, and how it is changing work and society.
Awardees must include an AI literacy plan in their proposals, outlining how students will learn about responsible, ethical, and privacy-conscious AI use. CTE has created a series of AI literacy modules in Canvas, and we encourage instructors to use or adapt those modules for their courses. Awardees will also participate in a learning community to help them develop their ideas and course materials.
We seek concrete proposals to integrate generative AI into teaching and learning in meaningful ways, provide examples that other instructors can adapt, and use approaches that can sustained over time. We are especially interested in these types of approaches: Learning reenvisioned . Empower students to learn with AI while developing core skills and critical thinking.
Help students explore the strengths and weaknesses of generative AI while also learning to use it productively. Authentic assignments . Help students apply their learning beyond the classroom.
Improve opportunities for students to learn through hands-on work rather than lecture. Partnering with students . Use AI to increase student ownership in course or assignment design, such as co-creating rubrics, class AI policies, or project plans, while maintaining academic integrity.
Build trust among students and faculty so that everyone can focus on learning rather than detection. Conceptual clarity . Use AI to create assignments or examples that help students grasp historically difficult or abstract concepts or that make difficult concepts more relatable and engaging.
Feedback and iteration . Use generative AI tools to provide formative feedback on student drafts or problem-solving processes to help students iterate and improve while stressing the importance of humanity in learning even when using technology. Addressing barriers to learning.
Use generative AI tools to remove barriers and support students with diverse learning needs. Data exploration and simulation . Use AI to help students analyze datasets, explore simulations, or generate hypothetical scenarios for deeper learning.
To better support a variety of projects, applicants may select from two funding tiers: • Seed Grants ($750) : For exploratory projects or smaller pilots integrating AI. • Innovation Grants ($1,500 – $2,000) : For larger-scale projects, multi-instructor collaborations, or cross-disciplinary efforts.
We encourage instructors to use Copilot because the university’s contract with Microsoft provides an additional layer of privacy and security protection. Faculty may use funds to pay for software or other tools for students and themselves, but the proposal should explain how that process can be sustained when additional funding is no longer available.
For example, we will consider proposals for experimentation with a particular tool as proof of concept that could be used to justify later department or school purchase. Plans for use of outside tools should also keep privacy policies and student access in mind. KU budget rules make use of some outside tools difficult.
All technology requests must be approved by IT security and the KU budget office, a process that can take several weeks. Keep that in mind as you create your proposal, as we expect all projects to be implemented by Spring 2026.
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. Individual or team applications are welcome. Grant awardees are expected to participate in a CTE-led faculty learning community to discuss progress and challenges.
It will meet twice in Fall and once in Spring. Please mark these dates on your calendar: Fall Meeting 1 will be Oct 3: 11-12 or Oct 10: 2-3 (choose one) Fall Meeting 2 will be Nov 7: 11-12 or Nov 14: 2-3 (choose one).
Spring meeting time is TBD Grant awardees are expected to present the results of their work, including a summary of student learning and other outcomes, in a poster at CTE’s annual Celebration of Teaching on the afternoon of May 8, 2026. A CTE Graduate Student Fellow will assist you in developing your poster for this event.
Projects that emerge from the grants may also be featured, with credit to the awardee, as examples in CTE materials related to generative AI. Proposals should be submitted by 5 p. m.
Tuesday, Sept. 23, 2025. 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 submission portal (you will be able to upload a document).
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 integrate AI literacy, including helping students understand the privacy risks of the AI tools they use? Project category.
Select one of the seven areas listed above. How you plan to use the awarded funds. The highest priority will be given to proposals that: Provide clear goals and rationale.
Include a plan for assessing the impact of changes on student learning and AI literacy. 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.
Questions? Contact Doug Ward , CTE Associate Director, or Omar Safir , CTE Data and Assessment Coordinator.
Based on current listing details, eligibility includes: Faculty at the University of Kansas. 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.