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Burhan Ogut; Blue Webb; Juanita Hicks; Ruhan Circi; Michelle Yin – Grantee Submission, 2024
In this study, we explore the application of process mining techniques on assessment log data to explore problem-solving strategies in Algebra. By analyzing sequences of student activities, we demonstrate the significant potential of process mining in identifying problem-solving strategies that lead to successful and unsuccessful outcomes. Our…
Descriptors: Mathematics Skills, Problem Solving, Learning Analytics, Algebra
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Sabatini, John; Wang, Zuowei; O'Reilly, Tenaha – Reading Research Quarterly, 2019
In this secondary analysis study, the authors explored the relations between reading comprehension and oral reading performance in fourth-grade students, using a data set from the U.S. National Assessment of Educational Progress (NAEP) special study of oral reading. The data set consisted of 1,713 students randomly selected from the 140,000 fourth…
Descriptors: Oral Reading, Reading Comprehension, Accuracy, Reading Rate
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Malone, Amelia Schneider; Fuchs, Lynn S. – Grantee Submission, 2015
The 3 purposes of this study were to: (a) describe fraction ordering errors among at-risk 4th-grade students; (b) assess the effect of part-whole understanding and accuracy of fraction magnitude estimation on the probability of committing errors; and (c) examine the effect of students' ability to explain comparing problems on the probability of…
Descriptors: Error Patterns, Fractions, At Risk Students, Grade 4
Malone, Amelia S.; Fuchs, Lynn S. – Journal of Learning Disabilities, 2017
The three purposes of this study were to (a) describe fraction ordering errors among at-risk fourth grade students, (b) assess the effect of part-whole understanding and accuracy of fraction magnitude estimation on the probability of committing errors, and (c) examine the effect of students' ability to explain comparing problems on the probability…
Descriptors: Error Patterns, Fractions, Mathematics Instruction, At Risk Students
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Stoneberg, Bert D. – Practical Assessment, Research & Evaluation, 2005
Results from the National Assessment of Educational Progress (NAEP) and other large scale tests are often reported as rank ordered lists showing mean values for each of the 50 states. Using data from the 2003 State NAEP Assessment, this paper examines the standard errors associated with State NAEP scores and explains why the use of rank order…
Descriptors: National Competency Tests, Standardized Tests, Geographic Location, Statistical Analysis