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Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Sykes, Andrea R.; Szuplat, Mary A.; Decker, Cynthia G. – Office of Career, Technical, and Adult Education, US Department of Education, 2014
Federal policymakers have interest in three specific areas of postsecondary career and technical education (CTE): associate degrees and certificates awarded in CTE, skills and training obtained through noncredit courses, and industry-recognized certifications. Research and data are readily available on students earning degrees and certificates in…
Descriptors: Educational Certificates, Vocational Education, Noncredit Courses, Outcomes of Education
Marsh, Julie A.; Pane, John F.; Hamilton, Laura S. – RAND Corporation, 2006
Data-driven decision making (DDDM), applied to student achievement testing data, is a central focus of many school and district reform efforts, in part because of federal and state test-based accountability policies. This paper uses RAND research to show how schools and districts are analyzing achievement test results and other types of data to…
Descriptors: Data Use, Decision Making, Data Analysis, Educational Improvement