NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Weybright, Elizabeth H.; Caldwell, Linda L.; Xie, Hui; Wegner, Lisa; Smith, Edward A. – South African Journal of Education, 2017
Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolescents and examine the influence of substance use…
Descriptors: Foreign Countries, Predictor Variables, Predictive Measurement, Secondary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Flores, Raymond; Inan, Fethi; Lin, Zhangxi – Journal of Computers in Mathematics and Science Teaching, 2013
In this study, the National Educational Longitudinal Study (ELS:2002) dataset was used and a predictive data mining technique, decision tree analysis, was implemented in order to examine which factors, in conjunction to computer use, can be used to predict high or low probability of success in high school mathematics. Specifically, this study…
Descriptors: Educational Technology, Computer Uses in Education, Longitudinal Studies, Predictor Variables
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hemmings, Brian; Kay, Russell – Australian Educational Researcher, 2010
A sample of Australian secondary school students was used to explore the relationships among a set of standardised Year 7 numeracy and literacy tests, measures taken at Year 10 of mathematics attitude and schoolwork effort, and Mathematics and English scores in a state-wide Year 10 examination. Additionally, the predictive capacity of the numeracy…
Descriptors: Student Attitudes, Numeracy, Correlation, Case Studies
Ikegulu, T. Nelson – Online Submission, 2004
Background: The overall goal of the No Child Left Behind Act (NCLB) of 2001 is to close, by the end of the 2013-2014 academic year, "the achievement gap between high- and low- performing students, especially the achievement gap between minority and non-minority students and, between disadvantaged children and their more advantaged peers"…
Descriptors: High Schools, Ethnicity, Middle Schools, Equal Education