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Harbour, Kristin E.; Saclarides, Evthokia S.; Adelson, Jill L.; Karp, Karen S. – International Electronic Journal of Mathematics Education, 2021
In this study, we used hierarchical linear modeling to examine restricted-use 2011 National Assessment of Educational Progress (NAEP) data to explore relationships between principal-reported time spent on the different NAEP responsibilities of mathematics coaches and specialists (MCSs) and the achievement scores of approximately 37,400…
Descriptors: Correlation, Responsibility, Specialists, Coaching (Performance)
Thomas Lashley – ProQuest LLC, 2021
With the onset and implementation of No Child Left Behind legislation almost two decades ago, coupled with declining performance by U.S. students compared with other developed countries, public education in our country has been under constant scrutiny from all fronts and continues to be there today. Much of the recent emphasis in educational…
Descriptors: Emergent Literacy, Socioeconomic Status, Teaching Methods, Educational Strategies
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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
Jing Lu; Chun Wang; Ningzhong Shi – Grantee Submission, 2023
In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…
Descriptors: High Stakes Tests, Standardized Tests, Guessing (Tests), Cheating
Ward, Barbara; And Others – 1983
To investigate the relationships between television watching, spare time reading, homework, and scholastic achievement, the National Assessment of Educational Progress gathered data on television viewing habits. Younger students were more avid viewers than older ones. Half the 9-year olds watched over 3 hours of television daily; most 13-year-olds…
Descriptors: Age Differences, Elementary Secondary Education, Homework, Reading Achievement
NAEP Facts, 1997
This document analyzes responses to questions included in a national assessment of knowledge of U.S. history and geography in an attempt to determine the relationship between study habits and academic performance. The National Assessment of Educational Progress (NAEP) 1994 asked 4th-, 8th-, and 12th-grade students specific questions regarding…
Descriptors: Academic Achievement, Educational Assessment, Elementary Secondary Education, Geography