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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk 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
Wu, Pai-Hsing; Wu, Hsin-Kai; Kuo, Che-Yu; Hsu, Ying-Shao – Interactive Learning Environments, 2015
Computer-based learning tools include design features to enhance learning but learners may not always perceive the existence of these features and use them in desirable ways. There might be a gap between what the tool features are designed to offer (intended affordance) and what they are actually used (actual affordance). This study thus aims at…
Descriptors: Science Instruction, Computer Uses in Education, Educational Technology, High School Students
Gregory, Christine – Science Teacher, 2012
In this article, the author describes the "Be your own groundhog" project in her grades 9-12 Earth and environmental sciences courses, in which students use citizen science databases to research the physical changes that signal the arrival of spring. This project starts with a simple question, "When will spring spring?" This goes beyond the…
Descriptors: Environmental Education, Teaching Methods, Science Instruction, Secondary School Science
Johnson, William L.; Johnson, Annabel M.; Johnson, Jared – Online Submission, 2012
Background: The context is the new Texas STAAR end-of-course testing program. Purpose: The authors developed a logistic regression model to predict who would pass-or-fail the new Texas chemistry STAAR end-of-course exam. Setting: Robert E. Lee High School (5A) with an enrollment of 2700 students, Tyler, Texas. Date of the study was the 2011-2012…
Descriptors: High School Students, Grade 10, Grade 11, Chemistry
Temple, Jeff R.; Shorey, Ryan C.; Fite, Paula; Stuart, Gregory L.; Le, Vi Donna – Journal of Youth and Adolescence, 2013
The prevention of teen dating violence is a major public health priority. However, the dearth of longitudinal studies makes it difficult to develop programs that effectively target salient risk factors. Using a school-based sample of ethnically diverse adolescents, this longitudinal study examined whether substance use (alcohol, marijuana, and…
Descriptors: Risk, Public Health, Adolescents, Whites
Sharabi, Adi; Margalit, Malka – Journal of Learning Disabilities, 2011
This study evaluated a multidimensional model of loneliness as related to risk and protective factors among adolescents with learning disabilities (LD). The authors aimed to identify factors that mediated loneliness among 716 adolescents in Grades 10 through 12 who were studying in high schools or in Youth Education Centers for at-risk…
Descriptors: Testing Accommodations, Interpersonal Communication, Structural Equation Models, Learning Disabilities
Leighton, Jacqueline P.; Cui, Ying; Cor, M. Ken – Applied Measurement in Education, 2009
The objective of the present investigation was to compare the adequacy of two cognitive models for predicting examinee performance on a sample of algebra I and II items from the March 2005 administration of the SAT[TM]. The two models included one generated from verbal reports provided by 21 examinees as they solved the SAT[TM] items, and the…
Descriptors: Test Items, Inferences, Cognitive Ability, 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