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Gardner, Josh; Brooks, Christopher – Journal of Learning Analytics, 2018
Model evaluation -- the process of making inferences about the performance of predictive models -- is a critical component of predictive modelling research in learning analytics. We survey the state of the practice with respect to model evaluation in learning analytics, which overwhelmingly uses only naïve methods for model evaluation or…
Descriptors: Prediction, Models, Evaluation, Evaluation Methods
Hodges, Jaret; McIntosh, Jason; Gentry, Marcia – Journal of Advanced Academics, 2017
High-potential students from low-income families are at an academic disadvantage compared with their more affluent peers. To address this issue, researchers have suggested novel approaches to mitigate gaps in student performance, including out-of-school enrichment programs. Longitudinal mixed effects modeling was used to analyze the growth of…
Descriptors: After School Programs, Enrichment Activities, Academic Achievement, High Achievement
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Schochet, Peter Z.; Chiang, Hanley S. – Journal of Educational and Behavioral Statistics, 2013
This article addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using a realistic performance measurement system scheme based on hypothesis testing, the authors develop error rate formulas based on ordinary least squares and…
Descriptors: Classification, Measurement, Elementary School Teachers, Elementary Schools
Hughes, Jan N.; Chen, Qi; Thoemmes, Felix; Kwok, Oi-man – Educational Evaluation and Policy Analysis, 2010
The association between grade retention in first grade and passing the third grade state accountability tests, the Texas Assessment of Knowledge and Skills (TAKS) reading and math, was investigated in a sample of 769 students who were recruited into the study when they were in first grade. Of these 769 students, 165 were retained in first grade…
Descriptors: Grade Repetition, Mathematics Tests, High Stakes Tests, Grade 3
Grodsky, Eric; Warren, John Robert; Kalogrides, Demetra – Educational Policy, 2009
In 23 states, members of the high school class of 2008 were required to pass a state high school exit examination (HSEE) to earn regular high school diplomas. Proponents of these policies claim that they improve student academic achievement, although critics argue that they reduce the quality of instruction without raising academic achievement.…
Descriptors: High Schools, Minimum Competency Testing, Mathematics Achievement, Academic Achievement
Bijedic, Nina; Slanjankic, Emir; Praso, Murat – Online Submission, 2007
This paper presents the effects of curriculum changes for course on Mathematics at Faculty of Information Technologies, University "Dzemal Bijedic", Mostar, BIH. Changes were introduced during Fall Semester 2006/7. They are aiming to improve knowledge deliverance and examination process. Effect of changes was measured by comparing actual results…
Descriptors: Curriculum Development, Academic Achievement, Information Technology, Effect Size
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

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