The Early Learning Lab is a new venture designed to catalyze the innovation and learning needed to support great teaching and caregiving for all young children. The lab uses new tools and approaches in partnership with others to design, test, and promote the large-scale adoption of effective and...
Blog post series examines questions about impact of school choice policies.Read more
Free online resource helps school districts execute quick, low-cost evaluations of educational software.Read more
Mathematica builds resources for educators.Read more
Mathematica study shows outcomes of community college IT programs.Read more
New study shows little difference between teachers of high- and low-income students.Read more
Study highlights methods to improve school performance beyond test scores.Read more
Performance measures based on test scores lack accuracy.Read more
A high-quality education is critical to the future of our nation's children and our country's economic success, but many lack access to effective teachers and schools. Mathematica studies public and private efforts to improve the quality of education and competitiveness of our workforce. Our work helps advance the science of education research and further discourse about education reform.
Using Rapid-Cycle Techniques to Spur and Test Innovation: The Early Learning Lab
Research Experiences for Undergraduates: Developing an Evaluation Framework and Pilot-Testing a Longitudinal Tracking System
Mathematica is designing an evaluation framework and pilot data system that would enhance the National Science Foundation’s (NSF’s) ability to monitor the REU program and to conduct evaluations with increasing level of rigor in the future.
Principal Program Analyst
Brandon Kyler has expertise in data collection, data quality assurance and validation, and project management.Featured ProjectsFeatured Publications
- The National School Lunch Program Direct Certification Improvement Study: Analysis of Unmatched Records (Summary)
- The National School Lunch Program Direct Certification Improvement Study: Analysis of Unmatched Records
- Family Support
- Nutrition and Food Assistance Programs
- Unemployment Insurance
- Data Analytics
helped raise the math and reading test scores of elementary students by 4 to 10 percentile points.