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No Child Left Behind Act 20011
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David Bamat – Measurement: Interdisciplinary Research and Perspectives, 2024
The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…
Descriptors: Reading Achievement, Achievement Gap, Prediction, National Competency Tests
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Bosch, 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
Tyler, Corine P.; Geldhof, G. John; Settersten, Richard A., Jr.; Flay, Brian R. – Journal of Early Adolescence, 2021
Black and Latinx youth are situated in a maladaptive discriminatory context in the United States; however, prosociality may be one way that youth can promote their own positive development in the face of these experiences. We examined the longitudinal associations between discrimination and prosociality among 380 Black and Latinx early adolescents…
Descriptors: Racial Discrimination, Self Esteem, Prediction, Prosocial Behavior
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Cirino, Paul T.; Tolar, Tammy D.; Fuchs, Lynn S. – Journal of Educational Research, 2019
Algebra I is a crucial course for middle and high school students for successful STEM-related coursework. A key issue is whether students should take Algebra I in Grade 8 versus Grade 9. Large-scale policy studies show conflicting results, and there are few (particularly longitudinal) individual difference studies. In the study, 53 students were…
Descriptors: Algebra, Prediction, Grade 8, Grade 9
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Nelson, Peter M.; Van Norman, Ethan R.; Lackner, Stacey K. – School Psychology Review, 2016
The current study explored multiple ways in which middle schools can use and integrate data sources to predict proficiency on future high-stakes state achievement tests. The diagnostic accuracy of (a) prior achievement data, (b) teacher rating scale scores, (c) a composite score combining state test scores and rating scale responses, and (d) two…
Descriptors: Comparative Analysis, Middle School Students, Educational Diagnosis, Accuracy
Hannon, Shannon – ProQuest LLC, 2013
This causal comparative study used a set of predictable variables, including school configurations, to predict student proficiency on the Arizona Instrument to Measure Standards (AIMS) test in reading and math. The school configurations were K-8 and middle school. The researcher analyzed the 2011-2012 AIMS reading and math achievement scores of…
Descriptors: Comparative Analysis, Predictor Variables, State Standards, Reading Achievement
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Yilmaz, Diba; Tekkaya, Ceren; Sungur, Semra – International Journal of Science Education, 2011
The present study examined the comparative effects of a prediction/discussion-based learning cycle, conceptual change text (CCT), and traditional instructions on students' understanding of genetics concepts. A quasi-experimental research design of the pre-test-post-test non-equivalent control group was adopted. The three intact classes, taught by…
Descriptors: Educational Strategies, Control Groups, Research Design, Prediction
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Wong, Manyee; Cook, Thomas D.; Steiner, Peter M. – Journal of Research on Educational Effectiveness, 2015
Some form of a short interrupted time series (ITS) is often used to evaluate state and national programs. An ITS design with a single treatment group assumes that the pretest functional form can be validly estimated and extrapolated into the postintervention period where it provides a valid counterfactual. This assumption is problematic. Ambiguous…
Descriptors: Evaluation Methods, Time, Federal Legislation, Educational Legislation
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
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Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
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Bissell-Havran, Joanna M.; Loken, Eric – Journal of Youth and Adolescence, 2009
In a sample of 207 eighth grade students, we examined similarities between students and their friends in achievement motivation and whether friendship support moderated these associations. Academic self-competence and intrinsic value for math and English were assessed using both perceptions of friends and actual friend reports collected through…
Descriptors: Student Attitudes, Academic Achievement, Achievement Need, Student Motivation
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Bozdogan, Aykut Emre; Yalcin, Necati – EURASIA Journal of Mathematics, Science & Technology Education, 2009
This research aimed to examine the effects of visiting exhibitions and participating in the activities offered by science centers on raising the interest of second level students of primary education in science and improving their academic achievements. Thirty one 8th grade students chosen randomly from primary schools participated in the research…
Descriptors: Science Interests, Academic Achievement, Achievement Tests, Regression (Statistics)
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries