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Hartong, Sigrid; Piattoeva, Nelli – Critical Studies in Education, 2021
This paper contributes to a growing body of research on the increasing datafication of schooling, which has become a salient topic in comparative education and education policy research. Specifically, we address the rising scholarly concern about the meaning of (comparing) contexts as bounded localities facing an increasingly fluid and generative…
Descriptors: Data Analysis, Comparative Education, Educational Policy, Standardized Tests
Tobin, Mollie; Lietz, Petra; Nugroho, Dita; Vivekanandan, Ramya; Nyamkhuu, Tserennadmid – Australian Council for Educational Research, 2015
Not much is known about the ways in which assessment data have actually been used in education policy to date. Understanding the role of assessments in informing system-level decision-making is a first step towards helping stakeholders improve the design and usefulness of assessments. Moreover, this understanding can help to further discussions…
Descriptors: Educational Policy, Measurement, Decision Making, Data Analysis
Peer reviewedNichols, Beverly W.; Singer, Kevin P. – Educational Leadership, 2000
In fall 1997, a midwestern district initiated changes to enable all stakeholders (especially teachers) to be knowledgeable users of standardized and teacher-made test results. Two major activities were implemented: data notebooks for each school and a data-mentor program to develop school personnel's data-analysis skills. (MLH)
Descriptors: Data Analysis, Elementary Secondary Education, Professional Development, Skill Development
Puleo, Vincent T.; Lieberman, Billie E. – 1986
This preliminary investigation explored a means of maximizing the use of standardized test results. In addition to the usual package of alpha and ranked norm-referenced test reports, a special series of reports by the California Test Bureau/McGraw-Hill was generated for remedial reading and mathematics teachers. These reports displayed primarily…
Descriptors: Academic Records, Data Analysis, Elementary Secondary Education, Item Analysis
Peer reviewedPopham, W. James – Educational Leadership, 2003
Discusses which kinds of data educators should respect and which they should reject. Asserts that most state accountability tests fail to produce the kinds of data that will improve teaching and learning. Teachers can get the data they need from their own instructionally useful classroom assessments. (WFA)
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection

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