1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsTeaching for the Future: AI Course Integration Grants is sponsored by University of Kansas, Center for Teaching Excellence. This opportunity supports mission-aligned projects and measurable outcomes.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
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.
According to the current listing, eligibility includes: Faculty at the University of Kansas. Confirm the full requirements in the official notice before applying.
Teaching for the Future: AI Course Integration Grants is funded by University of Kansas, Center for Teaching Excellence. Verify program details on the funder's official page before applying.
This opportunity targets applicants in Kansas. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The full ASPECT NOFO (DE-FOA-0003647) posted September 4, 2026, eleven days later than the Notice of Intent predicted. The real document splits $58 million across two topic areas with anticipated award counts of 0-7 and 0-3, a cost share that jumps from 20 percent to 50 percent mid-project, a mandatory five-page concept paper due October 9, and a university eligibility restriction that decides team structure before anyone writes a word.
Read articleThe Humana Foundation's first 2026 slate funded 13 nonprofits and five university research teams around senior and veteran emotional health, with awards from $150,000 to $3 million concentrated in Texas, Florida, and Kentucky. A second health equity slate is planned for fall 2026. Here is what the portfolio structure reveals about how this funder decides, and how aging-services and behavioral health organizations should position.
Read articleThe Hydrocarbons and Geothermal Energy Office's University Training and Research program funds coal, oil and gas, and geothermal R&D at U.S. colleges and universities — but every proposal must include a non-academic partner and must build training modules that outlive the award. The LOI deadline is October 1, 2026, with full applications 15 days later. Here is what that compressed window means and why the workforce framing changes what a competitive proposal looks like.
Read article