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Snodgrass Rangel, Virginia; Bell, Elizabeth; Monroy, Carlos – Education and Urban Society, 2019
Accountability policies assume that educators will use student data to improve student learning, but data use in practice has turned out to be harder than theorized. The purpose of this article was to examine how science teachers in Grades 5 to 8 used data in their classrooms. Utilizing sensemaking theory, we found that teachers decided how to use…
Descriptors: Science Teachers, Science Instruction, Information Utilization, Data
Frank, Stephen; Trawick-Smith, Joseph – Education Resource Strategies, 2014
K-12 education resources are often allocated non-strategically, with schools spending time and money on activities that have little relationship to student outcomes. Most of these decisions take place within districts, rooted in the processes of setting schedules, staffing levels, and assignments, and creating final budgets. Local Education…
Descriptors: State Agencies, School Districts, Elementary Secondary Education, Resource Allocation
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Journal of Applied Research on Children, 2012
The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, data systems alone will not improve outcomes. It is time for both DQC and states to focus on…
Descriptors: Data, Educational Quality, Information Utilization, Decision Making
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Bigham, Gary D.; Riney, Mark R. – NASSP Bulletin, 2017
To meet the constantly changing needs of schools and diverse learners, educators must frequently monitor student learning, revise curricula, and improve instruction. Consequently, it is critical that careful analyses of student performance data are ongoing components of curriculum decision-making processes. The primary purpose of this study is to…
Descriptors: Longitudinal Studies, Educational Improvement, Decision Making, Curriculum Development
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Gottfried, Michael A.; Ikemoto, Gina S.; Orr, Nate; Lemke, Cheryl – Regional Educational Laboratory Mid-Atlantic, 2011
This report documents how four state education agencies are supporting local data-driven decisionmaking through their policies, practices, and programs for creating data systems, improving data access and use, and building district and school capacity to use data. Specifically, this report, responding to District of Columbia Office of State…
Descriptors: Data, Decision Making, Educational Policy, Educational Practices
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Gottfried, Michael A.; Ikemoto, Gina S.; Orr, Nate; Lemke, Cheryl – Regional Educational Laboratory Mid-Atlantic, 2011
This report documents how four state education agencies are supporting local data-driven decisionmaking through their policies, practices, and programs for creating data systems, improving data access and use, and building district and school capacity to use data. Responding to District of Columbia Office of State Superintendent of Education and…
Descriptors: State Programs, State Departments of Education, Decision Making, Data
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Kuh, George D.; Kinzie, Jillian; Schuh, John H.; Whitt, Elizabeth J. – Change: The Magazine of Higher Learning, 2011
A few years ago, in "Student Success in College (SSiC)," the authors profiled twenty colleges and universities that were unusually effective in fostering student engagement and success, defined as better-than-predicted scores on the National Survey of Student Engagement (NSSE) and better-than-predicted graduation rates. These schools are…
Descriptors: Higher Education, Human Capital, Academic Achievement, Colleges
Martinez, Guillermo – ProQuest LLC, 2010
Federal legislation such as No Child Left Behind requires greater focus and attention on the part of schools and school districts not only to make school improvements, but also to meet rigorous accountability requirements such as Adequate Yearly Progress (AYP) as determined by high student achievement guidelines. These requirements have compelled…
Descriptors: Private Schools, Educational Improvement, Federal Programs, Statistical Significance
Gottlieb, Amy Sue – ProQuest LLC, 2009
The importance and use of data and information to make sound programmatic decisions are receiving increased attention as state and federal funding for public health programs grows tighter and as demands for accountability continue. This dissertation provides insight into fundamental questions regarding the utilization of a Web-based reporting…
Descriptors: Knowledge Management, Public Health, Smoking, Prevention
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McIntosh, Wm. Alex; Zey-Ferrell, Mary – Rural Sociology, 1986
Path analysis examines an analytical model of decision making by lending officers of 211 Texas banks when recommending agricultural technology to farmer-clients. Model analyzes effects of loan officers' ascribed/achieved personal characteristics and perceptions of organizational constraints during three stages of decision process: using…
Descriptors: Adoption (Ideas), Appropriate Technology, Banking, Credit (Finance)