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Means, Barbara; Anderson, Kea – Office of Educational Technology, US Department of Education, 2013
This report describes how big data and an evidence framework can align across five contexts of educational improvement. It explains that before working with big data, there is an important prerequisite: the proposed innovation should align with deeper learning objectives and should incorporate sound learning sciences principles. New curriculum…
Descriptors: Educational Technology, Technology Uses in Education, Educational Resources, Individualized Instruction
Thomas B. Fordham Institute, 2019
Creating smart, coherent education policy is painstaking work; there are technical, budgetary, and political challenges at almost every turn. But it is some of the most important work that state leaders can undertake. As Ohioans prepared to elect a new governor in late 2018, we at the Fordham Institute began rolling out a set of policy proposals…
Descriptors: College Readiness, Career Readiness, Educational Policy, State Policy
Kugle, Cherry; Smith, Nancy – Data Quality Campaign, 2006
The Data Quality Campaign is a national, collaborative effort to encourage and support state policymakers to improve the collection, availability and use of high-quality education data and to implement state longitudinal data systems to improve student achievement. The campaign aims to provide tools and resources that will assist state development…
Descriptors: Data Collection, Data Analysis, Longitudinal Studies, Academic Achievement
Cooper, Eric; And Others – 1987
A group of seven conference papers, all dealing with the role of testing and evaluation in the schools, is presented in this document. The papers are as follows: (1) "Framework for Effective Schools" (Eric Cooper), which identifies indicators of efficacy, quality, and equity; (2) "Quality Indicators for Monitoring Equity"…
Descriptors: Academic Achievement, Achievement Tests, Computer Assisted Testing, Data Collection