Mathematica is designing evaluation models for both teachers and school administrators, designing and producing value-added models, and providing technical and analytic assistance.
Effective Data Use
When used effectively, data can be a powerful tool for evidence-based decision making. Student and teacher data, if analyzed appropriately, can improve instructional practices and inform other school reforms.
Our staff have provided advice to many stakeholders—foundations, federal agencies, states, and districts—on how to use data to inform education policies and decisions. We have helped these stakeholders develop better measures of teacher and leader effectiveness that incorporate measures of students' learning, classroom observations, and other measures of performance. In addition, we are evaluating interventions designed to help teachers make use of data from formative student assessments to improve their instruction.
Charleston County School District Multi-Dimensional Educator Evaluation Framework and Educator Effectiveness Rating System
Assessing Teacher Effectiveness in Pittsburgh Public Schools
In a project with the Pittsburgh Public Schools, we developed value-added statistical models that estimate teachers’ and schools’ contributions to the achievement of their students. Our findings suggest that the value-added model estimates provide meaningful information on teacher and school performance.
Feasibility and Conduct of an Implementation and Impact Evaluation to Inform High Quality Data-Driven Instruction (DDI)
Mathematica is conducting an experimental impact evaluation of the effects of data-driven instruction (DDI) on student achievement. This involves the implementation of high quality DDI professional development and estimating its effects on student achievement.