Prediction of Basic Math Course Failure Rate in the Physics, Meteorology, Mathematics, Actuarial Sciences and Pharmacy Degree Programs
में बचाया:
| लेखक: | |
|---|---|
| स्वरूप: | artículo |
| स्थिति: | Versión publicada |
| प्रकाशन तिथि: | 2014 |
| विवरण: | This paper summarizes a study conducted in 2013 with the purpose of predicting the failure rate of math courses taken by Pharmacy, Mathematics, Actuarial Science, Physics and Meteorology students at Universidad de Costa Rica (UCR). Using the Logistics Regression statistical techniques applied to the 2010 cohort, failure rates were predicted of students in the aforementioned programs in one of their Math introductory courses (Calculus 101 for Physics and Meteorology, Math Principles for Mathematics and Actuarial Science and Applied Differential Equations for Pharmacy). For these models, the UCR admission average, the student’s genre, and the average correct answers in the Quantitative Skills Test were used as predictor variables. The most important variable for all models was the Quantitative Skills Test, and the model with the highest correct classification rate was the Logistics Regression. For the estimated Physics-Meteorology, Pharmacy and Mathematics-Actuarial Science models, correct classifications were 89.8%, 73.6%, and 93.9%, respectively. |
| देश: | Portal de Revistas UNA |
| संस्थान: | Universidad Nacional de Costa Rica |
| Repositorio: | Portal de Revistas UNA |
| भाषा: | Español Inglés |
| OAI Identifier: | oai:ojs.www.una.ac.cr:article/6088 |
| ऑनलाइन पहुंच: | https://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/6088 |
| संकेत शब्द: | Failing University Mathematics College Admission Quantitative Reasoning. Reprobación matemática universitaria admisión universitaria razonamiento cuantitativo. |