Now showing items 1-6 of 6
Predicting success in a mathematics course
Retention is a genuine, valid apprehension for many two-year colleges and four-year universities in the United States. As many as 1 in 3 first-year students do not return for the sophomore year due to variety of reasons, ...
Using data mining techniques to identify “the best” operational patterns for enrollment modeling
For any Educational Institution it is very important to know the number of new students and the number of returning students. Based on these numbers, there could be conducted predictions of the budget that the institution ...
A longitudinal analysis using auxiliary information to model retention in undergraduate students
Attrition is an issue for colleges and universities, and attempts to retain students are becoming more and more difficult. This study focuses on predicting student attrition of first time incoming (FTIC) students over a ...
The application of aristotelian rhetorical appeals in Kate Chopin's The Awakening and "Athenaise"
Kate Chopin has a merited place in the literary canon for her works of realism—specifically The Awakening and “Athenaise”—that reveal progressive messages about a woman’s search for identity. Although objective in her ...
Success of entering college freshmen taking developmental mathematics at Texas Woman's University
The purpose of this study was to measure the overall success in students' performances using several different variables in developmental mathematics when comparing the redesign and paired redesign course to traditionally ...
A polychotomous, multivariate regression model predicting performance level in a core mathematics course
Enrolling students in a mathematics course commensurate with their performance ability is of great importance to mathematics departments at all institutions of higher learning. This research will utilize pre-existing ...