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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
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Liu, Ming-Chi; Huang, Yueh-Min; Kinshuk; Wen, Dunwei – Educational Technology Research and Development, 2013
It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image…
Descriptors: Navigation (Information Systems), Online Searching, Hypermedia, Predictor Variables
Hinrichs, Amy F. – ProQuest LLC, 2013
Low reading levels and lack of comprehension are current problems in high school classrooms confirmed by low standardized test scores and employer feedback as comprehension problems move into the workplace with students who do not have the necessary reading skills on the job. Midwestern high school science club students served as participants in…
Descriptors: Instructional Design, Reading Comprehension, Reading, Music
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Hegedus, Stephen J.; Dalton, Sara; Tapper, John R. – Educational Technology Research and Development, 2015
We report on two large studies conducted in advanced algebra classrooms in the US, which evaluated the effect of replacing traditional algebra 2 curriculum with an integrated suite of dynamic interactive software, wireless networks and technology-enhanced curriculum on student learning. The first study was a cluster randomized trial and the second…
Descriptors: Algebra, Mathematics Instruction, Mathematics Curriculum, Computer Software
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Waight, Noemi; Chiu, Ming Ming; Whitford, Melinda – Journal of Science Education and Technology, 2014
This study contributed to our understanding of those factors that serve as predictors of science teachers' selection and use of technologies and more specifically, how selection and usage was realized among teachers of different science disciplines. Notable descriptive statistics were examined, and we tested an explanatory model of how…
Descriptors: Science Teachers, Secondary School Science, High Schools, Predictor Variables
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McArdle, John J.; Paskus, Thomas S.; Boker, Steven M. – Multivariate Behavioral Research, 2013
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, College Athletics
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Bouck, Emily C.; Flanagan, Sara; Joshi, Gauri S.; Sheikh, Waseem; Schleppenbach, Dave – Journal of Special Education Technology, 2011
This project explored a newly developed computer-based voice input, speech output (VISO) calculator. Three high school students with visual impairments educated at a state school for the blind and visually impaired participated in the study. The time they took to complete assessments and the average number of attempts per problem were recorded…
Descriptors: Assistive Technology, Visual Impairments, Computation, Calculators
National High School Center, 2011
The United States high school dropout problem has been called a national crisis, with only 74.9% of public high school students graduating with a diploma in 2008. With states and districts under mounting pressure to raise graduation rates, there is increasing urgency to obtain more accurate and timely data to systematically identify students most…
Descriptors: Dropout Prevention, Dropouts, At Risk Students, Student Needs
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Stols, Gerrit; Kriek, Jeanne – Australasian Journal of Educational Technology, 2011
In this exploratory study, we sought to examine the influence of mathematics teachers' beliefs on their intended and actual usage of dynamic mathematics software in their classrooms. The theory of planned behaviour (TPB), the technology acceptance model (TAM) and the innovation diffusion theory (IDT) were used to examine the influence of teachers'…
Descriptors: Computer Software, Least Squares Statistics, Educational Technology, Mathematics Teachers
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Lalley, James P.; Piotrowski, Phillip S.; Battaglia, Barbara; Brophy, Keith; Chugh, Kevin – International Journal of Environmental and Science Education, 2010
The purpose of the present study was to examine and compare the effectiveness of virtual frog dissection using V-Frog[C] and physical frog dissection on learning, retention, and affect. Subjects were secondary students enrolled in year-long life science classes in a suburban high school (N=102). Virtual dissections were done with V-Frog[C], a…
Descriptors: Computer Simulation, Computer Assisted Instruction, Laboratory Procedures, Pretests Posttests
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Ziya, Engin; Dogan, Nuri; Kelecioglu, Hulya – Turkish Online Journal of Educational Technology - TOJET, 2010
This study aims at determining the extent to which computer using skills specified in Project for International Students Evaluation (PISA) 2006 predict Turkish students' achievement in mathematics. Apart from questions on mathematics, science and reading competencies, a student questionnaire, a school questionnaire and a parent questionnaire were…
Descriptors: Mathematics Achievement, Academic Achievement, Questionnaires, Computers
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Bauer, Daniel J. – Journal of Educational and Behavioral Statistics, 2003
Multilevel linear models (MLMs) provide a powerful framework for analyzing data collected at nested or non-nested levels, such as students within classrooms. The current article draws on recent analytical and software advances to demonstrate that a broad class of MLMs may be estimated as structural equation models (SEMs). Moreover, within the SEM…
Descriptors: Structural Equation Models, Data Analysis, Computer Software, Evaluation Methods
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Tumlin, Jennifer; Heller, Kathryn Wolff – Journal of Special Education Technology, 2004
The purpose of this study was to examine the use of word prediction software to increase typing speed and decrease spelling errors for students who have physical disabilities that affect hand use. Student perceptions regarding the effectiveness of word prediction was examined as well as their typing rates and spelling accuracy. Four students with…
Descriptors: Computer Software, Physical Disabilities, Assistive Technology, Keyboarding (Data Entry)
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