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Faria, Ann-Marie; Heppen, Jessica; Li, Yibing; Stachel, Suzanne; Jones, Wehmah; Sawyer, Katherine; Thomsen, Kerri; Kutner, Melissa; Miser, David; Lewis, Sharon; Casserly, Michael; Simon, Candace; Uzzell, Renata; Corcoran, Amanda; Palacios, Moses – Council of the Great City Schools, 2012
In recent years, interest has spiked in data-driven decision making in education--that is, using various types of student data to inform decisions in schools and classrooms. In October 2008, the Council of the Great City Schools and American Institutes for Research (AIR) launched a project funded by The Bill & Melinda Gates Foundation that focused…
Descriptors: Academic Achievement, Evidence, Decision Making, Principals
Maryland State Department of Education, 2009
It is hard to overestimate the significance of the master planning process. The process is one of the most salient strategies that the Maryland State Department of Education utilizes for improving student achievement and closing the achievement gap. Until recently, many local school systems (LSSs) treated planning as a local endeavor that merely…
Descriptors: School Districts, Master Plans, Strategic Planning, Annual Reports
Tymms, Peter; Williams, Dyfrig – 1996
This report looks at the extent to which it was possible, using data from 1994 and 1995, to provide value-added scores for schools in three Local Education Authorities (LEAs) in England. The number of terms students spend in school and their academic progress are reviewed, and the responses of the LEAs to the summary of issues related to…
Descriptors: Academic Achievement, Educational Assessment, Educational Experience, Elementary Education
Bruininks, Robert H., Ed.; And Others – 1988
This benefit-cost evaluation project provides a comprehensive analysis of a school district special education program. The project addressed the need for information on ways to evaluate special education programs and to make programmatic decisions based on evaluation information. Project activities focused on the following four interrelated areas:…
Descriptors: Cost Effectiveness, Data Collection, Disabilities, Dropouts