Challenges and Trade-offs in Measuring the Outcomes of NSFs MSP Program

Challenges and Trade-offs in Measuring the Outcomes of NSFs MSP Program

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Unformatted text preview: Challenges and Trade-offs in Measuring the Outcomes of NSF’s Mathematics and Science Partnership Program: Lessons from four years on the learning curve Five Key Features of NSF MSP Projects • Partnership-driven, with significant engagement of faculty in mathematics, the sciences, and engineering • Teacher quality, quantity, and diversity • Challenging courses and curricula • Evidence-based design and outcomes • Institutional change and sustainability Design-Implementation-Outcomes = the DIO Cycle of Evidence From Evidence: An Essential Tool- a Math and Science Partnership Program Publication developed by MSP principal investigators and evaluators of Cohort 1 and 2 projects in order to formulate a statement that would guide effective project-level evaluation (http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf0531). Determining What to Measure Basic professional development logic model Inputs Activities Outcomes Short term Long term ` Federal funds Other inputs Summer institutes Ongoing school-year workshops Online course supplements Other human and material resources Improved content knowledge in mathematics or science Improved understanding of pedagogy as it relates to the content area Higher quality content area instruction Other teacher outcomes: retention, satisfaction, leadership ability Improved student learning in math and/or science Enhanced district/school capacity...
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Challenges and Trade-offs in Measuring the Outcomes of NSFs MSP Program

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