FR 2024-30435

Overview

Title

Applications for New Awards; Education Research and Development Center Program

Agencies

ELI5 AI

The Department of Education is looking for people who have great ideas to make schools better, like using smart computers to help college students learn more. They have lots of money to give to those who have the best plans, but some people are worried about making sure the money is used the right way.

Summary AI

The Department of Education is inviting applications for new awards for the Education Research and Development Center Program for fiscal year 2025. This program aims to fund research centers that will tackle specific educational problems and enhance knowledge in their fields. The department plans to fund projects on topics like improving gifted education and using generative artificial intelligence in higher education. Applications are open from December 20, 2024, with a deadline for submission set on March 14, 2025.

Abstract

The Department of Education (Department) is issuing a notice inviting applications for new awards for fiscal year (FY) 2025 for the Education Research and Development Center Program.

Type: Notice
Citation: 89 FR 104116
Document #: 2024-30435
Date:
Volume: 89
Pages: 104116-104119

AnalysisAI

The announcement from the Department of Education details a call for applications for the Education Research and Development Center Program for fiscal year 2025. This initiative is designed to fund research centers aimed at solving distinct educational challenges and advancing knowledge in targeted areas. There is a particular focus on enhancing gifted education and incorporating generative artificial intelligence into higher education. Applications will be accepted starting December 20, 2024, with submissions due by March 14, 2025.

Significant Issues and Concerns

The document presents several notable issues that could affect the integrity and effectiveness of the proposed funding program:

  1. Scope and Focus: The scope for utilizing generative artificial intelligence in postsecondary education is broad. Such a wide application range might lead to complexities in monitoring, tracking, and evaluating how effectively the funds are being used.

  2. Funding Range: The financial allocation for projects utilizing generative AI, ranging between $8,000,000 and $10,000,000, is substantial. This large budget scale raises concerns about effective oversight and the potential for mismanagement of these public funds.

  3. Submission and Selection Criteria: The document allows for similar applications to be submitted to various entities, which could lead to confusion or even misuse of funds if not properly addressed. Additionally, there is an absence of clearly defined criteria for assessing the quality of applications, potentially resulting in subjective decision-making.

  4. Eligibility and Expertise: The criteria defining the eligibility of applicants are broad, allowing numerous types of organizations to apply. This inclusivity, while positive, might also result in the dilution of funds, or allocation to organizations lacking sufficient expertise.

  5. Complex Language: The use of sophisticated legal and bureaucratic language might make the document challenging for some applicants to fully understand. This could result in disparities in application success, depending on the applicant’s familiarity with such terms.

  6. Civil Rights Compliance: While the document highlights the need for compliance with federal civil rights laws, there is no explicit mechanism described for ensuring ongoing adherence to these regulations by the awardees.

  7. Conditional Future Appropriations: The reliance on future Congressional appropriations, which have not yet been enacted, suggests a risk of funding gaps. This uncertainty could lead to planning challenges or unmet expectations if the projected funds are not realized.

Broad Public Impact

The opening of such educational research programs has potential wide-reaching impacts. Positively, it offers opportunities for significant advancements in educational practices and technologies that could benefit educators, students, and the broader community. For example, integrating artificial intelligence into education could revolutionize learning methods and accessibility.

However, the issues identified, such as potential oversight challenges and vague application criteria, might lead to ineffective use of taxpayer funds. This could result in missed opportunities for real progress and improvements in the education sector.

Impact on Specific Stakeholders

Education Providers: Institutions of higher education and educational agencies stand to benefit through partnership opportunities, capacity building, and access to substantially funded research projects.

Applicants and Researchers: Potential applicants, especially those with less experience navigating federal funding applications, might face challenges due to the complex language and lack of detailed criteria. Conversely, experienced researchers may find substantial support for pioneering projects.

Policymakers and Government Entities: Policymakers may need to address the challenges of ensuring effective fund allocation and monitoring, especially in projects involving rapidly evolving technologies like artificial intelligence.

Overall, while the document outlines an ambitious and forward-thinking initiative, its success will largely depend on addressing the highlighted concerns, particularly around oversight and clear guidance for applicants. Ensuring clarity and consistency in how funds are distributed and monitored will be essential for maximizing the positive impacts of this program.

Financial Assessment

The document from the Department of Education pertains to a notice for applications for new awards under the Education Research and Development Center Program for fiscal year 2025. It highlights financial allocations and the potential monetary value of awards associated with specific research topics. These financial references are of particular importance, as they reflect not only the potential size of the awards but also highlight several concerns and issues this notice might present.

The document outlines two distinct research topics with specified financial ranges. For the "Improving Gifted Education" topic, the estimated total award is $5,000,000. This allocation aims to support programs enhancing the education of gifted students and involves research partnerships primarily with higher education institutions and state education agencies. For the application topic on "Using Generative Artificial Intelligence to Improve Instruction in Postsecondary Education," the financial range is noticeably larger, between $8,000,000 and $10,000,000. This generous allocation signifies the importance placed on integrating advanced technologies into education systems to potentially innovate and improve educational outcomes.

The significant awards indicate a broad funding scope, which may relate to several issues within the document. One concern could be how the spending for generative artificial intelligence is managed. The size and scope of the funding make it challenging to track or evaluate the success effectively—highlighted by the large financial range which is $8,000,000 to $10,000,000. This vagueness could lead to insufficient oversight.

Additionally, there is an inherent risk of dual submissions as the notice allows applicants to submit similar applications to multiple entities, which increases the possibility of misused funds. This concern is not sufficiently addressed, as there are no clear guidelines on how to manage such situations to prevent overlapping awards or allocation misuse.

The document also mentions that, if the total value of a grantee's active federal government contracts or cooperative agreements exceeds $10,000,000, particular reporting requirements come into play under 2 CFR part 200, appendix XII. This regulation attempts to ensure transparency and integrity in the use of awarded funds. However, without clear definitions of what constitutes "high-quality applications" or precise selection criteria, the financial allocations might risk being distributed to entities that do not meet the desired standards or lack the capacity to make effective use of the funds.

Overall, these financial allocations and their potential problems highlight the necessity for careful consideration and structured guidelines to ensure that the funds provided serve their intended purpose efficiently and effectively. The regulations are dense with legal language, which might restrict access to potential applicants who lack the capability to navigate complex bureaucratic processes, thus underscoring the need for clarity in both financial allocation and procedural execution.

Issues

  • • The document provides a broad scope for the awards, such as using generative artificial intelligence in postsecondary education, which could potentially result in spending that might be hard to track or evaluate in terms of successful outcomes.

  • • The range of awards for the Generative Artificial Intelligence topic is quite large ($8,000,000 to $10,000,000), which may raise concerns about oversight and ensuring funds are used effectively.

  • • The provision allowing submission of similar applications to multiple entities without clear guidelines on resolving dual submissions might lead to confusion or potential misuse of funds.

  • • Lack of explicitly defined selection criteria for determining the quality of applications, which could lead to subjective or biased funding decisions.

  • • The language specifying entities eligible for funding is broad, potentially allowing a wide variety of organizations to apply, which may lead to funds being spread too thinly or awarded to entities with insufficient expertise.

  • • No clear guidelines on what constitutes 'high-quality applications' in the context of considering additional awards, which could lead to inconsistent decision-making.

  • • The document uses complex legal and bureaucratic language that might be difficult for potential applicants to fully comprehend, possibly creating disparities in the application process.

  • • There is a mention of a need to comply with federal civil rights laws, but no explicit framework or mechanism is outlined for ensuring compliance is maintained by awardees throughout the project.

  • • The eligibility criteria for the Improving Gifted Education program are vague with regard to the capacity of 'additional' entities in partnerships, which could lead to inadequate partnerships.

  • • There is an assumption of future appropriations not yet enacted, which might lead to misaligned planning or unmet expectations if Congress does not provide the anticipated funding.

Statistics

Size

Pages: 4
Words: 3,694
Sentences: 140
Entities: 274

Language

Nouns: 1,257
Verbs: 280
Adjectives: 213
Adverbs: 51
Numbers: 175

Complexity

Average Token Length:
5.71
Average Sentence Length:
26.39
Token Entropy:
5.73
Readability (ARI):
22.38

Reading Time

about 14 minutes