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Download full textBosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Direct linkBerlowitz, Leslie – Liberal Education, 2010
Scientists have long recognized the value of having statistical data to measure the scope and vitality of education, research, and workforce development in their fields. Such data support evidence-based policy discussions in professional and governmental forums. Since 1982, the National Science Board has been required by law to publish…
Descriptors: Evidence, Higher Education, Elementary Secondary Education, Demonstration Programs
Berg, Jill Harrison; Miller, Lesley Ryan; Souvanna, Phomdaen – Journal of Staff Development, 2011
Throughout the past two decades, Boston Public Schools has seen strong, steady improvement, recently demonstrated through student gains on NAEP's Trial Urban District Assessment in math and recognized through the award of the 2006 Broad Prize for Urban Education. Teacher leaders have played an important role in Boston's improvement. As team…
Descriptors: Urban Education, Educational Improvement, Achievement Gains, Mathematics Tests
US Department of Education, 2011
The Educational Technical Assistance Act of 2002, authorized the Southwest Regional Advisory Committee (RAC), whose members represent the states of Arkansas, Louisiana, New Mexico, Oklahoma, and Texas, to identify and prioritize the region's educational needs and recommend how those needs can be met. The Southwest RAC conducted three public…
Descriptors: Regional Characteristics, Educational Needs, Needs Assessment, Rural Environment
Justus, Hope – American Education, 1973
Describes the functions and responsibilities of the Education Commission of the States as well as their educational contributions. (RK) Aspect of National Assessment (NAEP) dealt with in this document: Program Description.
Descriptors: Data Collection, Decision Making, Diagrams, Educational Objectives
Educational Testing Service, Princeton, NJ. – 1971
The conference theme was "The Promise and Perils of Educational Information Systems," defined as collections of test data on knowledges, skills, interests, and attitudes maintained for the purpose of educational decision making. Topics covered were: "Longer Education: Thinner, Broader, or Higher" (Fritz Machlup); "Testing:…
Descriptors: Bayesian Statistics, Bias, Blacks, Conferences
Amos, Jason, Ed. – Alliance for Excellent Education, 2006
"Straight A's: Public Education Policy and Progress" is a biweekly newsletter that focuses on education news and events both in Washington, DC and around the country. The following articles are included in this issue: (1) House Passes Budget Resolution: Prospects of a Compromise with the Senate Appear Dim; (2) Older Students' Science…
Descriptors: Exit Examinations, Public Education, High School Students, Reading Achievement
Comptroller General of the U.S., Washington, DC. – 1976
The National Assessment of Educational Progress is a project which annually surveys the knowledge, skills, and attitudes of young Americans. Its basic mission is to provide information useful to educational decision-makers and practitioners. The project has contributed to American education, but its assessment results have been of limited…
Descriptors: Accountability, Cost Effectiveness, Criterion Referenced Tests, Data Collection
Education Commission of the States, Denver, CO. National Assessment of Educational Progress. – 1976
Summary findings gathered by the National Assessment of Educational Progress (NAEP) in the 1973-74 national assessment of career and occupational development (COD) are reported. (NAEP is an information-gathering project that surveys the educational attainment of 9-year-olds, 13-year-olds, 17-year-olds, and adults (ages 26-35) in ten learning…
Descriptors: Academic Achievement, Adults, Age, Age Groups
