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AI-Powered Teaching Grants is a grant from the University of Nebraska Omaha's AI Learning Lab that funds part-time and full-time faculty integrating Generative AI responsibly into their courses.
The program offers a three-tiered system: Tier 1 ($250) for single assignment AI integration, Tier 2 for module or project-level implementation, and Tier 3 ($2,000) for full course AI implementation, each with corresponding instructional designer collaboration. Applications are accepted year-round and awarded based on available funds. Faculty receive payment on their paycheck within one to two months of completing the grant.
All implementations must include AI student guidance pages, use statements, ethics-focused AI integration, and clear instructional rationale. Both part-time and full-time UNO faculty are eligible.
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AI-Powered Teaching Grants | Division of Innovative and Learning-Centric Initiatives | University of Nebraska Omaha AI-Powered Teaching Grants The AI Learning Lab offers AI-Powered Teaching grants to help all part-time and full-time faculty integrate Generative AI into their courses. In the grant process, you will collaborate with an Instructional Designer to effectively implement AI into your course(s).
AI-Teaching Grant Applications can be submitted at any point throughout the year and will be awarded based on available funds. If funds run out, more grant opportunities will be available at a later date. Learn more about the options and process below.
The AI Learning Lab is offering a three-tiered system of AI course support to meet faculty where they are. The AI Learning Lab is offering a three-tiered system of AI course support: Tier 1: Assignment AI Implementation If you’re wanting guidance on how to incorporate AI into a single assignment or to create the same type assignment for multiple areas of your course, apply for a tier Teaching Grant.
Work closely with an Instructional Designer for 3 to 4 hours (approximately 1-2 meetings) to incorporate AI in a way that works for you. Tier 2: Module/Project AI Implementation If you’re wanting to incorporate AI into a scaffolded project throughout the semester, create a module on how they can use AI in future careers, or you’re looking to incorporate AI in 4-5 different ways throughout the semester, apply for a tier 2 Teaching Grant.
Work closely with an Instructional Designer for 1 to 2 months to incorporate AI strategically and effectively. Tier 3: Capstone Course/Full Implementation If you’re wanting to fully implement AI throughout your course (in most weeks/modules) in various ways, apply for a Tier 3 AI-Powered Teaching Grant. Work closely with an Instructional Designer through our 3-to-4-month course re-development process.
What to Expect from the AI Implementation Process AI Grants focus on the responsible and ethical incorporation of AI throughout your course.
After you apply, you will: hear from the AI Learning Lab on any follow up questions and if your grant was approved receive a DocuSign with details about your grant and compensation meet with an instructional designer initially to discuss your ideas and steps in the process instructional designer will review the course and provide feedback, suggestions, and sample assignments on AI integration the instructional designer will work with you to create a plan and timeline for completion the instructional designer will review the implementation and mark the grant as complete Faculty will receive the grant money on their paycheck within 1 to 2 months of completing the grant.
What is the implementation evaluated on Once the instructional designer deems the implementation complete, the instructional designer will review the course according to the evaluation form and required components below: AI Student Page: The instructor has included the AI student page in their course to provide guidance to AI use.
AI Use Statements: The instructor includes AI use statements on assignments to let students know when they can and cannot use AI in the course. The distinction is clear and easy to understand.
AI Guidance: Students are guided through the AI use in a way that aligns with the goals of the implementation (e.g. given prompts, step-by-step instructions, etc.) AI Ethics and Integrity: The course uses AI in a way that promotes ethical AI use and teaches students to learn how to use AI responsibly.
AI Rationale: Instructions for the AI implementation include a clear purpose and provide understanding of why they are completing the task. Instruction Formatting: Instructions for using AI are clear and include appropriate headings (overview/purpose, task, submitting the assignment, and grading) for the task at hand.
Note For Tier 2 and 3 Course Grants If current courses do not meet or exceed our course design review standards, an additional $1,000 stipend may be available to improve course structure and accessibility. Please note that for AI to be integrated ethically and responsibly. Any part time or full-time faculty member can apply by filling out the application form
Based on current listing details, eligibility includes: Part-time and full-time faculty at the University of Nebraska Omaha. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $250 to $2,000 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.
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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.