Sponsors (3)
The bill makes a modest federal investment to expand K–12 modeling and data-science education and teacher capacity—potentially improving student skills and workforce pipelines—but does so through time-limited, competitive grants that increase federal spending, create administrative burdens, and risk uneven access or program disruption if funding is constrained or not renewed.
K–12 students (especially those reached by participating districts) gain expanded access to mathematical, statistical modeling, and data-science learning, improving real-world problem-solving skills.
Teachers and teacher-preparation programs receive targeted professional learning, training resources, and recommendations to strengthen pre-service and in-service instruction in modeling and data science.
Colleges, nonprofits, and local education agencies can compete for federal grants (funded at about $10M/year under the program) to develop scalable curricula, partnerships linking K–12 to higher education and employers, and deploy model programs.
Taxpayers fund new federal spending (about $50 million for the grant program plus roughly $5 million for the study over five years), which adds to federal outlays and could displace other priorities.
Tying awards to NSF appropriations and sunsetting the authority in 2029 creates funding uncertainty and could limit award availability or disrupt programs if Congress does not continue or increase funding.
Participation requirements, reporting, and partnership commitments create administrative burdens that may strain school and district capacity, particularly for under-resourced LEAs.
Based on analysis of 4 sections of legislative text.
Directs NSF to fund R&D grants to improve K–12 mathematical and statistical modeling education and requires an independent NASEM study, with activity limited to appropriations and a 2029 sunset.
Directs the National Science Foundation to fund competitive, peer-reviewed research grants that develop and test new ways to teach mathematical and statistical modeling, data science, operations research, and computational thinking in K–12 schools, with an emphasis on smoothing transitions to higher grades and postsecondary pathways. It also requires an independent study (to be carried out by the National Academies or a similar body) on barriers and supports for implementing modeling education, authorizes $1,000,000 per year for that study (FY2026–2030), limits all activity to amounts appropriated, and sunsets the grant authority on September 30, 2029. The bill focuses on research, development, and evaluation rather than creating curricular mandates. It defines key terms, identifies eligible grant recipients (institutions of higher education, nonprofits, and consortia), requires public stakeholder engagement for the study, and requires a written report with recommendations to NSF, the Department of Education, and Congress within 24 months of the study agreement.
Introduced January 24, 2025 by Christina Houlahan · Last progress March 25, 2025