Opportunity Information: Apply for 22 588
The National Science Foundation (NSF) grant opportunity titled Improving Undergraduate STEM Education: Computing in Undergraduate Education (IUSE: CUE) supports projects that strengthen how computing is taught and learned in undergraduate settings, with the goal of preparing a larger and more diverse set of students to use computation collaboratively in many different contexts. The central idea is not simply to add more computing courses, but to re-envision computing education so that it works well for a broad range of learners and can be implemented at scale. In practice, this means proposals should focus on approaches that help students apply computational thinking and tools to complex, real-world problems, including problems that arise across STEM disciplines and interdisciplinary domains, and do so in ways that can be adopted beyond a single classroom or institution.
A major emphasis of this solicitation is broadening participation in computing by improving educational pathways for students who have been historically underrepresented or underserved in traditional computing courses and computing careers. The opportunity explicitly points to groups that may be prioritized in project design and outcomes, including women, persons with disabilities, Blacks and African Americans, Hispanics and Latinos, American Indians, Alaska Natives, Native Hawaiians, and Other Pacific Islanders. Projects are expected to take this priority seriously by designing instruction, curricula, learning environments, and support structures that reduce barriers to entry and persistence, strengthen belonging and success, and widen access to high-quality computing learning experiences.
Administratively, this is a discretionary NSF funding opportunity using the grant instrument, categorized under science and technology and other research and development. It is associated with CFDA numbers 47.070 and 47.076. The funding opportunity number is 22-588, and it was created on April 16, 2022, with an original closing date of August 18, 2022. The program anticipated making about six awards, with a maximum award size (award ceiling) of up to $2,000,000 per award. Eligibility is listed as "Others (see text field entitled Additional Information on Eligibility for clarification)," which indicates that eligibility may extend beyond standard categories but requires consulting the full solicitation text for specifics on who may apply and under what conditions.
Overall, IUSE: CUE is aimed at transformative, evidence-informed improvements in undergraduate computing education that can be scaled and sustained, while directly addressing equity and access. Competitive projects would typically be expected to articulate a clear educational problem, propose a well-justified and implementable solution for teaching computing effectively to diverse learners, and show how the work could influence broader adoption or practice across institutions, programs, or disciplines rather than remaining a one-off local improvement.Apply for 22 588
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Improving Undergraduate STEM Education: Computing in Undergraduate Education" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.070, 47.076.
- This funding opportunity was created on Apr 16, 2022.
- Applicants must submit their applications by Aug 18, 2022. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $2,000,000.00 in funding.
- The number of recipients for this funding is limited to 6 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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FAQs: NSF IUSE: CUE (Improving Undergraduate STEM Education: Computing in Undergraduate Education)
What is the IUSE: CUE grant opportunity?
IUSE: CUE is a National Science Foundation (NSF) grant opportunity focused on improving how computing is taught and learned in undergraduate education. Its purpose is to prepare a larger and more diverse set of students to use computation collaboratively across many contexts, including STEM disciplines and interdisciplinary areas.
What is the main goal of this NSF program?
The main goal is to strengthen undergraduate computing education in ways that work for a broad range of learners and can be implemented at scale. The emphasis is on re-envisioning computing education, not simply increasing the number of computing courses.
Is this program about creating more computing courses?
Not primarily. The solicitation highlights that the central idea is not just to add more computing courses, but to redesign and improve computing education so it better supports diverse learners and can be adopted beyond a single classroom or institution.
What types of educational approaches does IUSE: CUE encourage?
The opportunity encourages approaches that help students apply computational thinking and computing tools to complex, real-world problems. It also emphasizes use cases across STEM disciplines and interdisciplinary domains, with attention to designs that can be broadly adopted and sustained.
What does "implemented at scale" mean in the context of this program?
Based on the description, "implemented at scale" points to solutions that can be adopted beyond one classroom or one institution. Proposals are expected to consider broader adoption, replication, or influence on practice across programs, institutions, disciplines, or contexts.
What does the program mean by "transformative" improvements?
The program is aimed at substantial, evidence-informed improvements to undergraduate computing education, rather than small, isolated changes. Competitive projects would be expected to define a clear educational problem and present a well-justified solution that could influence broader practice.
How does IUSE: CUE address diversity, equity, and inclusion?
A major emphasis of the solicitation is broadening participation in computing. Projects are expected to design instruction, curricula, learning environments, and support structures that reduce barriers to entry and persistence, strengthen belonging and success, and widen access to high-quality computing learning experiences.
Which student groups are explicitly highlighted for broadening participation?
The opportunity explicitly points to groups that may be prioritized in project design and outcomes, including women, persons with disabilities, Blacks and African Americans, Hispanics and Latinos, American Indians, Alaska Natives, Native Hawaiians, and Other Pacific Islanders.
What kinds of project components are expected to reduce barriers and improve persistence?
The description indicates projects should focus on designing instruction, curricula, learning environments, and support structures. These elements should be intentionally designed to reduce barriers, strengthen belonging and success, and improve access and persistence for historically underrepresented or underserved students in computing.
What kinds of problems should students be able to work on through supported projects?
Supported approaches should help students apply computational thinking and tools to complex, real-world problems, including those arising across STEM disciplines and interdisciplinary domains.
Does IUSE: CUE focus only on computer science majors?
The opportunity emphasizes preparing students to use computation in many different contexts and highlights computing across STEM disciplines and interdisciplinary domains. This framing suggests the program is not limited to a single major or department, but is focused on undergraduate computing education in broader settings.
What makes a proposal competitive based on the information provided?
Competitive projects would typically be expected to (1) articulate a clear educational problem, (2) propose a well-justified and implementable solution for teaching computing effectively to diverse learners, and (3) explain how the work could influence broader adoption or practice across institutions, programs, or disciplines rather than remaining a one-off local improvement.
What federal assistance categories are associated with this opportunity?
This funding opportunity is associated with CFDA numbers 47.070 and 47.076.
What is the funding opportunity number for this NSF solicitation?
The funding opportunity number is 22-588.
What type of funding instrument does NSF use for this program?
The opportunity is a discretionary NSF funding opportunity using the grant instrument.
How many awards were anticipated?
The program anticipated making about six awards.
What is the maximum award amount (award ceiling)?
The award ceiling is up to $2,000,000 per award.
When was this opportunity created and what was the original closing date?
The opportunity was created on April 16, 2022, and the original closing date was August 18, 2022.
Who is eligible to apply?
Eligibility is listed as "Others (see text field entitled Additional Information on Eligibility for clarification)." This indicates eligibility may extend beyond standard categories, but applicants would need to consult the full solicitation text for details on who may apply and under what conditions.
What field or topic area does NSF categorize this program under?
It is categorized under science and technology and other research and development.
What does the program mean by "evidence-informed" improvements?
The program is described as aiming for evidence-informed improvements, meaning the proposed changes to undergraduate computing education should be grounded in evidence and well-justified, with an emphasis on approaches that are implementable and can be sustained and scaled.
Does the program prioritize projects that can influence other institutions?
Yes. The description emphasizes that proposals should aim for adoption beyond a single classroom or institution, and competitive projects are expected to show how their work could influence broader adoption or practice across institutions, programs, or disciplines.
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