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Derrick-Mills, Teresa; Winkler, Mary K.; Healy, Olivia; Greenberg, Erica – Administration for Children & Families, 2015
Head Start has long focused on assessing and improving program quality to ensure that the children served receive the best possible preparation for school and life. Most research has been focused inside the classroom--the classroom environment, teacher qualifications, and teacher interactions. Of course, the classroom is important because that is…
Descriptors: Early Childhood Education, Federal Programs, Preschool Children, Disadvantaged Youth
National Association of Charter School Authorizers (NJ1), 2011
This document contains key questions to consider when evaluating virtual charter school proposals.The insert is designed to help authorizers evaluate school quality and capacity in light of the distinctive attributes of virtual schooling. These questions address major functional areas as well essential questions that authorizers should ask of…
Descriptors: Charter Schools, Proposal Writing, Governance, Students
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Spencer, Richard L. – New Directions for Community Colleges, 1979
Discusses a planning, management, and evaluation system, an objective-based planning process, research databases, analytical reports, and transactional data as state-of-the-art tools available to generate data which link research directly to planning for institutional renewal. (RC)
Descriptors: Change Agents, Change Strategies, College Administration, Data Collection
Johnstone, James N. – Evaluation in Education: International Progress, 1978
Educational systems evaluation is a cyclical process of delineating, obtaining, and providing information for judging decision alternatives. As such, it encompasses much more than measurement. Methods for evaluating systems must be developed, because activities and orientations at this level differ from those of individual students, curricula, or…
Descriptors: Data Collection, Decision Making, Educational Assessment, Educational Development
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Marzano, Robert J. – Educational Leadership, 2003
Discusses how schools can avoid mistakes in building their school-improvement plans. The two most common mistakes are (1) using measures of student learning that are not sensitive to the actual learning occurring, and (2) having no system for interpreting and using the data. (Contains 1 figure and 11 references.) (WFA)
Descriptors: Change Strategies, Curriculum Development, Data Analysis, Data Collection
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Rudner, Lawrence M.; Boston, Carol – Educational Leadership, 2003
Discusses data warehousing, which provides information more fully responsive to local, state, and federal data needs. Such a system allows educators to generate reports and analyses that supply information, provide accountability, explore relationships among different kinds of data, and inform decision-makers. (Contains one figure and eight…
Descriptors: Accountability, Data Analysis, Data Collection, Data Interpretation