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Kristian Edosomwan; Jemimah L. Young; Jamaal R. Young – Middle Grades Review, 2024
This study examines the impact of early Algebra I coursework on advanced Carnegie credits among 12th graders from diverse racial/ethnic backgrounds, using data from the NCES HSTS (1990-2019). Findings indicate that early Algebra students, particularly Black and Latinx, earn more advanced credits, revealing a widening gap in advanced course…
Descriptors: Algebra, Credits, Educational Attainment, Measurement Techniques
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Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
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Bergner, Yoav; von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2019
This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…
Descriptors: National Competency Tests, Data Collection, Data Analysis, Cognitive Processes
Harbour, Kristin E.; Saclarides, Evthokia Stephanie – Phi Delta Kappan, 2020
To support continuous professional development model in the teaching and learning of mathematics, many districts and schools have begun hiring elementary mathematics coaches and/or specialists (MCSs). However, limited large-scale empirical research exists that determines how the use of MCSs affect student learning and achievement. Kristin E.…
Descriptors: Mathematics Instruction, Coaching (Performance), Specialists, Data Analysis
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Zehner, Fabian; Eichmann, Beate; Deribo, Tobias; Harrison, Scott; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – Journal of Educational Data Mining, 2021
The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…
Descriptors: National Competency Tests, Engineering Education, Data Collection, Data Analysis
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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
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National Center for Special Education Research, 2020
In March 2020, the National Center for Special Education Research (NCSER) virtually convened a group of experts to discuss gaps in research on eighth grade mathematics for students with disabilities (SWD) that could be addressed with the NAEP process data and data science techniques for this research. Invited experts also provided recommendations…
Descriptors: National Competency Tests, Mathematics Achievement, Students with Disabilities, Testing
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Fu, Jianbin – ETS Research Report Series, 2016
The multidimensional item response theory (MIRT) models with covariates proposed by Haberman and implemented in the "mirt" program provide a flexible way to analyze data based on item response theory. In this report, we discuss applications of the MIRT models with covariates to longitudinal test data to measure skill differences at the…
Descriptors: Item Response Theory, Longitudinal Studies, Test Bias, Goodness of Fit
Kyler, Katherine – ProQuest LLC, 2017
Education has undergone a sweeping renovation throughout the last several decades as part of the school accountability movement aimed to increase student success. High school graduation rates are the highest they have been in decades. School accountability measures continue to be implemented and modified with a goal of increasing student success…
Descriptors: Educational Trends, National Competency Tests, Scores, Adolescents
Mohr, Doris, Ed.; Walcott, Crystal, Ed.; Kloosterman, Peter, Ed. – National Council of Teachers of Mathematics, 2019
"Mathematical Thinking: From Assessment Items to Challenging Tasks" is a compilation of 36 problem-based lessons that encourage students to engage in productive struggle and deep thinking. Its 36 full-length lessons for grades 2-8 are each inspired by an actual test item from the National Assessment of Educational Progress (NAEP).…
Descriptors: Problem Based Learning, Test Items, Elementary School Mathematics, Middle School Mathematics
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English, Lyn D. – Teaching Children Mathematics, 2013
The National Council of Teachers of Mathematics (NCTM) continues to emphasize the importance of early statistical learning; data analysis and probability was the Council's professional development "Focus of the Year" for 2007-2008. Such a focus is needed, especially given the results of the statistics items from the 2003 NAEP. As…
Descriptors: Probability, Statistics, Data Analysis, Classrooms
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Lord, Kathleen M.; Noel, Andrea M.; Slevin, Bridgette – Journal of Research in Childhood Education, 2016
This study examined the 4th-grade National Assessment of Educational Progress (NAEP) assessments (history, geography, and civics) and 3rd- and 4th-grade social studies standards from nine randomly selected states and organized the content around three global concepts (conflict, movement, discovery) and six specific concepts (war, rebellion,…
Descriptors: Social Studies, National Competency Tests, Common Core State Standards, Grade 4
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Hao, Jiangang; Shu, Zhan; von Davier, Alina – Journal of Educational Data Mining, 2015
Students' activities in game/scenario-based tasks (G/SBTs) can be characterized by a sequence of time-stamped actions of different types with different attributes. For a subset of G/SBTs in which only the order of the actions is of great interest, the process data can be well characterized as a string of characters (i.e., action string) if we…
Descriptors: Task Analysis, Data Analysis, Vignettes, Correlation
National Assessment Governing Board, 2017
The National Assessment of Educational Progress (NAEP) is the only continuing and nationally representative measure of trends in academic achievement of U.S. elementary and secondary school students in various subjects. For more than four decades, NAEP assessments have been conducted periodically in reading, mathematics, science, writing, U.S.…
Descriptors: Mathematics Achievement, Multiple Choice Tests, National Competency Tests, Educational Trends
National Assessment Governing Board, 2017
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Mathematics Tests, Mathematics Achievement, Mathematics Instruction, Grade 4
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