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Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Zaslow, Martha; Tout, Kathryn; Halle, Tamara; Forry, Nicole – Child Trends, 2009
As states and communities invest in initiatives to improve the quality of early care and education, the measurement of quality is becoming more widespread and the importance of measuring quality well is gaining increasing attention. Within the broad context of interest in improving quality, this report seeks to differentiate among a number of…
Descriptors: Child Care, Early Childhood Education, Educational Quality, Evaluation
Shapiro, Karen; And Others – 1975
This technical report is the companion volume to the 1975 Databook, the purpose of which was the compilation of available data series focused on the organization and functioning of the knowledge production and utilization (KPU) system. This technical report is intended to (1) provide more accurate data sources, (2) analyze existing data sources,…
Descriptors: Data Collection, Educational Development, Educational Research, Evaluation
Sanders, James R.; Nafziger, Dean H. – 1975
A basis is provided for judging the adequacy of evaluation plans or evaluation designs in this document. It is assumed that using the procedures suggested to determine the adequacy of evaluation designs in advance of actually conducting evaluations will lead to better evaluation designs, better evaluations, and more useful evaluative information.…
Descriptors: Check Lists, Criteria, Data Collection, Decision Making
Wade, Howard H. – 2001
Schools are realizing that carefully collected and analyzed data represent the key to educational improvement. This digest outlines the most useful types of data to drive the school-improvement process, steps that must be taken to collect and analyze data, the role of administrators in guiding the data-driven reform process, and results that can…
Descriptors: Academic Achievement, Administrator Role, Change Strategies, Data
Wall, James E. – 1981
Knowing and understanding the principles and tenets underlying dissemination, utilization, and impact collection facilitate the "how." Dissemination is a communication process involving interactional relationships among individuals. Involvement of multiple agencies gives rise to networking. Disseminating is also a major facet of planned…
Descriptors: Coordination, Curriculum Development, Data Collection, Educational Change
Lee, Arthur M. – 1979
One of a series of sixteen knowledge transformation papers, this paper deals with the nature and extent of use of evaluative data by administrators in vocational education. First, the following conditions which govern the use of the data are described: availability, reliability, credibility, utility, and consistency. Since the legitimacy of most…
Descriptors: Data Collection, Databases, Evaluation, Evaluation Needs
Pyecha, John N. – 1973
The proposed program represents a vehicle whereby Minnesota can conduct a comprehensive assessment of the State's educational progress. It can provide a means of periodically monitoring achievement in the cognitive, affective, and psychomotor domains. The program is modeled after the National Assessment of Education Progress (NAEP), an ongoing…
Descriptors: Academic Achievement, Administration, Data Analysis, Data Collection
Kean, Michael H. – 1975
Throwing the proverbial monkey wrench into the machinery "on paper" before a system begins functioning seems to be essential to program evaluation. This activity should be performed by the "resident skeptic" who is familiar with past resistance to change and who, being familiar with a program, is able to foresee theoretical and…
Descriptors: Data Collection, Educational Change, Educational Improvement, Educational Planning