Mathematical and Statistical Modeling Education Act
- Bill Number
- H.R. 730
- Origin Chamber
- House
- Congress
- 119th Congress, Session 1
- Policy Area
- Education
- Status
- Passed House
- Latest Action
- 2025-03-25: Received in the Senate and Read twice and referred to the Committee on Health, Education, Labor, and Pensions.
- Last Updated
- 2026-07-11T12:08:22Z
AI-Generated Summary
Purpose of the Legislation
The Mathematical and Statistical Modeling Education Act (H.R. 730) aims to update mathematics education in science, technology, engineering, and mathematics (STEM) fields by focusing on practical skills like mathematical and statistical modeling. This includes using data analysis, computer-based problem-solving, hands-on projects, and real-world applications to prepare students for modern jobs. The goal is to address a shortage of STEM workers by making math education more relevant and engaging, especially through teamwork and technology.
Key Provisions Outlined
- Findings and Definitions: The act lists reasons for the need for change, such as outdated math teaching leading to workforce gaps and the growing importance of data skills in jobs like AI and engineering. It defines terms like "mathematical modeling" (applying math to real problems, per educational guidelines), "statistical modeling" (using stats to analyze data and uncertainty), and "STEM" (science, technology, engineering, math, including computer science).
- Awards for Educator Preparation (Section 2): The National Science Foundation (NSF) Director must award grants on a competitive, merit-based basis to colleges, universities, and nonprofits (or groups of them) for research and development. These focus on improving math modeling in K-12 public schools, including data science and computational thinking. Grants encourage partnerships across school levels (e.g., middle to high school transitions) and with local schools.
- Application Requirements: Applicants must describe target students (e.g., underserved groups like low-income or homeless students), recruitment plans, how the project boosts student engagement (especially for underrepresented groups in STEM), and partnership plans if involved.
- Encouraged Partnerships: Awards prioritize collaborations with experienced nonprofits or universities, local school districts (including rural and Tribal ones), school leaders committed to changes, experts in education and industry, and communication strategies for parents and communities.
- Use of Funds: Grantees can spend on teacher training, research on flexible curricula (letting students choose tools for problems), real-data projects (handling messy or large datasets), school-wide professional development, accessibility for diverse learners, community-based learning, industry connections, online/in-person mentoring, and efforts to include underrepresented students. Other activities are allowed if they meet the goals.
- Evaluations and Reporting: Projects must include plans to measure outcomes (e.g., student achievement). NSF will evaluate all grants, identify best practices, and report to Congress within 180 days of completion, including recommendations for improvements.
- Funding: Authorizes $10 million annually from fiscal years 2026 to 2030 for NSF's STEM Education Directorate.
- National Academies Study (Section 3): Within 180 days of enactment, NSF must contract with the National Academies of Sciences, Engineering, and Medicine (NASEM) (or a similar group) for a study on integrating math and statistical modeling into K-12 education. Topics include barriers to implementation, teacher training gaps, career pathways, community projects, and communication with stakeholders. NASEM must hold at least one public meeting and submit a report with recommendations to NSF, the Department of Education, and Congress within 24 months.
- Funding: Authorizes $1 million annually from fiscal years 2026 to 2030 for NSF's STEM Education Directorate.
- Limitations (Section 4): Funding comes only from existing NSF appropriations. Grant authority ends September 30, 2029 (sunset provision).
Significant Changes to Existing Law Introduced
This act introduces new federal programs without directly amending prior laws. It builds on existing frameworks like the Higher Education Act (for defining colleges) and the Elementary and Secondary Education Act (for identifying underserved students). Key additions include mandatory NSF grants for math modeling research and a required NASEM study, which did not exist before. It emphasizes modern skills like data science and computational thinking, shifting from traditional math teaching to flexible, real-world applications.
Potential Impacts
- On Government Agencies: NSF gains responsibility for managing grants, evaluations, and the NASEM study, potentially increasing its role in K-12 education. The Department of Education may use study findings to inform policies. Total authorized funding ($55 million over five years) could strain NSF budgets if not fully appropriated.
- On Citizens: Students, especially in K-12, benefit from more engaging math education, potentially improving STEM skills and job readiness. Teachers receive training to handle modern tools, reducing workforce training costs for employers. Underrepresented groups (e.g., girls, minorities, rural students) may see better access and retention in STEM, addressing a projected shortage of 1 million STEM workers.
- On International Relations: By boosting U.S. math modeling education, the act aims to compete with global leaders like China, where such programs are more advanced and prize-winning. This could enhance U.S. innovation in fields like AI and quantum computing, indirectly strengthening economic and military competitiveness.
Main Stakeholders Affected
- Educators and Schools: K-12 teachers, school districts (including rural and Tribal), and universities receive funding for training and curricula, with school leaders needing to prioritize reforms.
- Students: PreK-12 learners, particularly underserved groups (e.g., low-income, homeless, foster care, minorities, girls in STEM), gain access to practical math skills and career connections.
- Employers and Industry: Businesses in STEM fields (e.g., tech, finance, healthcare) benefit from a better-prepared workforce, with partnerships linking education to jobs.
- Nonprofits and Researchers: Organizations focused on STEM equity and experts in education, cognitive science, and industry can apply for grants and contribute to studies.
- Parents and Communities: Involved through communication strategies and resources to support student learning.
- Government Entities: NSF (primary implementer), NASEM (for the study), and Congress (for oversight and funding).
Notable Legal, Constitutional, or Political Implications
- Legal: The act uses merit-reviewed, competitive grants to ensure fairness and accountability, with required evaluations to track effectiveness. Funding is limited to NSF appropriations, avoiding new mandatory spending. The sunset clause provides a built-in review period.
- Constitutional: Aligns with Congress's power to promote education and science (under the General Welfare Clause). No major conflicts, as it supports voluntary state and local education without federal mandates on curricula.
- Political: Promotes national STEM competitiveness amid concerns over skills gaps and global rivalry, potentially appealing across party lines. It emphasizes equity for underrepresented groups, which could influence debates on education funding. The NASEM report may shape future legislation, but the modest funding scale limits broad fiscal impact.
This summary was generated by AI and may contain inaccuracies. Refer to the official source document for the authoritative text.
Sponsor
Rep. Houlahan, Chrissy [D-PA-6]
Cosponsors (2)
Rep. Baird, James R. [R-IN-4], Rep. Fitzpatrick, Brian K. [R-PA-1]
Recent Actions
- 2025-03-25: Received in the Senate and Read twice and referred to the Committee on Health, Education, Labor, and Pensions.
- 2025-03-24: Motion to reconsider laid on the table Agreed to without objection.
- 2025-03-24: On motion to suspend the rules and pass the bill, as amended Agreed to by voice vote. (text: CR H1197-1199)
- 2025-03-24: Passed/agreed to in House: On motion to suspend the rules and pass the bill, as amended Agreed to by voice vote. (text: CR H1197-1199)
- 2025-03-24: DEBATE - The House proceeded with forty minutes of debate on H.R. 730.
- 2025-03-24: Considered under suspension of the rules. (consideration: CR H1197-1201)
- 2025-03-24: Mr. Babin moved to suspend the rules and pass the bill, as amended.
- 2025-01-24: Referred to the House Committee on Science, Space, and Technology.
- 2025-01-24: Introduced in House
- 2025-01-24: Introduced in House
Bill Versions
- Mathematical and Statistical Modeling Education Act — issued 2025-03-24 — PDF (18 pages)
- Mathematical and Statistical Modeling Education Act — issued 2025-01-24 — PDF (16 pages)
- Mathematical and Statistical Modeling Education Act — issued 2025-03-25 — PDF (16 pages)