Policy Impact Analysis - 117/HR/3588

Bill Overview

Title: Mathematical and Statistical Modeling Education Act

Description: This bill requires the National Science Foundation (NSF) to take certain actions to increase mathematical and statistical modeling education in public elementary and secondary schools. First, the NSF must provide competitive grants to institutions of higher education and nonprofit organizations for research and development to support high-quality mathematical modeling education (e.g., data science and computational thinking) in schools. In addition, the NSF must seek to enter into an agreement with the National Academies of Sciences, Engineering, and Medicine to study and report on mathematical and statistical modeling education in schools.

Sponsors: Rep. Houlahan, Chrissy [D-PA-6]

Target Audience

Population: Students and educators in public elementary and secondary schools globally

Estimated Size: 51000000

Reasoning

Simulated Interviews

High School Student (Austin, Texas)

Age: 15 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • I think it's cool that we'll be learning more about how math works in the real world.
  • It might help me with my future career plans.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 6
Year 5 9 6
Year 10 9 6
Year 20 9 6

High School Math Teacher (San Jose, California)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • This initiative will require teachers to upgrade their skills, which is exciting but also time-consuming.
  • I hope the policy comes with adequate training resources.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 7 6
Year 10 8 6
Year 20 8 6

Nonprofit Organization Researcher (Richmond, Virginia)

Age: 28 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Our nonprofit is keen to apply for these grants to enhance our STEM programs.
  • This policy can significantly expand opportunities for students in underserved areas.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 9 8
Year 3 9 8
Year 5 9 8
Year 10 9 8
Year 20 9 8

Education Policy Analyst (Minneapolis, Minnesota)

Age: 34 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy could bridge gaps in STEM education across different school districts.
  • However, implementation and oversight will be crucial to its success.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 8 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

School Principal (Miami, Florida)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Adjusting the curriculum to include more math modeling will be challenging initially.
  • I foresee potential benefits in students' analytical skills.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 6 5
Year 3 6 5
Year 5 7 5
Year 10 7 5
Year 20 7 5

High School Student (New York, New York)

Age: 17 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 3.0 years

Commonness: 15/20

Statement of Opinion:

  • I'm not sure how this will affect me. Math isn't my favorite subject.
  • It might help if it's more about real-world stuff though.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 4 4
Year 2 5 4
Year 3 5 4
Year 5 5 4
Year 10 5 4
Year 20 5 4

Parent of school-aged children (Salt Lake City, Utah)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm hopeful this policy will prepare my children better for the future job market.
  • However, I'm concerned about teachers' readiness to adapt to changes.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 6 5
Year 3 6 5
Year 5 7 5
Year 10 7 5
Year 20 7 5

Software Engineer (Chicago, Illinois)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 12/20

Statement of Opinion:

  • This policy resonates with integrating computational thinking in early education.
  • I'm interested in how it can prepare students for future tech careers.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 8 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

State Education Board Member (Los Angeles, California)

Age: 58 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This is a promising policy for enhancing STEM education.
  • Effective administration and monitoring are key.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 7 6
Year 10 7 6
Year 20 7 6

Graduate Student in Education (Denver, Colorado)

Age: 25 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 7/20

Statement of Opinion:

  • This legislation aligns with current educational research trends.
  • It could lead to significant academic growth among students.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 7 6
Year 5 7 6
Year 10 8 6
Year 20 8 6

Cost Estimates

Year 1: $150000000 (Low: $130000000, High: $170000000)

Year 2: $150000000 (Low: $130000000, High: $170000000)

Year 3: $150000000 (Low: $130000000, High: $170000000)

Year 5: $150000000 (Low: $130000000, High: $170000000)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations