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Direct linkCynthia J. Murphy; Siffat A. Sharmin; Hsien-Yuan Hsu – Journal of Education for Students Placed at Risk, 2024
Although studies have investigated educational attainment of groups of students professing low and high educational self-expectations, groups of noncommittal students, rather than being studied as a discrete group, have been treated as missing and ignored. This study investigated the differences between students of noncommittal, low, and high…
Descriptors: Grade 10, Educational Attainment, Hispanic American Students, African American Students
Güzeller, Cem Oktay; Eser, Mehmet Taha; Aksu, Gökhan – International Journal of Progressive Education, 2016
This study attempts to determine the factors affecting the mathematics achievement of students in Turkey based on data from the Programme for International Student Assessment 2012 and the correct classification ratio of the established model. The study used mathematics achievement as a dependent variable while sex, having a study room, preparation…
Descriptors: Foreign Countries, Mathematics Achievement, Secondary School Students, Grade 10
Download full textPetscher, 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
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
Baker, Ryan S. J. d. – International Working Group on Educational Data Mining, 2009
Recent research has suggested that differences between intelligent tutor lessons predict a large amount of the variance in the prevalence of gaming the system. Within this paper, we investigate whether such differences also predict how much students choose to go off-task, and if so, which differences predict how much off-task behavior will occur.…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Student Behavior, Prediction
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
Research Services, Miami-Dade County Public Schools, 2006
The purpose of this document is to present, in summary fashion, statistical information on the status of public education in Miami-Dade County. Information is provided in the areas of organization, educational programs and services, achievement, and other outcomes of schooling. Also included are multi-year statistics on student population,…
Descriptors: Academic Achievement, Profiles, Public Schools, Public Education
