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Direct linkAnn M. Brearley; Kollin W. Rott; Laura J. Le – Journal of Statistics and Data Science Education, 2023
We present a unique and innovative course, Biostatistical Literacy, developed at the University of Minnesota. The course is aimed at public health graduate students and health sciences professionals. Its goal is to develop students' ability to read and interpret statistical results in the medical and public health literature. The content spans the…
Descriptors: Statistics Education, Data Interpretation, Teaching Methods, Biology
Download full textMcDonald, Sarah-Kathryn; Andal, Jolynne; Brown, Kevin; Schneider, Barbara – Regional Educational Laboratory Midwest, 2007
Educational improvement through data-based decision-making using high-quality data is a longstanding goal of policymakers and practitioners, and ensuring the quality of the evidence available to inform such decisions is a key part of the No Child Left Behind Act of 2001. The evidence-based education that such initiatives promote involves the…
Descriptors: Educational Resources, Information Needs, Information Systems, Politics of Education
Roellke, Christopher, Ed.; Rice, Jennifer King, Ed. – 2002
This volume focuses on school finance challenges in large urban school districts, fiscal accountability in these schools, and the fiscal dimensions of urban school reform. The 12 papers are (1) "School Finance and Urban Education Reform" (Christopher Roellke and Jennifer King Rice); (2) "Can Whole-School Reform Improve the…
Descriptors: Beginning Teachers, Competition, Data Interpretation, Educational Change
