Predicción de la reprobación de cursos de matemática básicos en las carreras de Física, Meteorología, Matemática, Ciencias Actuariales y Farmacia

IF 0.9 Q3 EDUCATION & EDUCATIONAL RESEARCH

Revista Electronica Educare Pub Date : 2014-09-01 DOI:10.15359/REE.18-3.1

Luis Rojas-Torres

{"title":"Predicción de la reprobación de cursos de matemática básicos en las carreras de Física, Meteorología, Matemática, Ciencias Actuariales y Farmacia","authors":"Luis Rojas-Torres","doi":"10.15359/REE.18-3.1","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":37416,"journal":{"name":"Revista Electronica Educare","volume":"18 1","pages":"3-15"},"PeriodicalIF":0.9000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.15359/REE.18-3.1","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Electronica Educare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15359/REE.18-3.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}

引用次数: 2

Abstract

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.

查看原文本刊更多论文

预测物理、气象学、数学、精算科学和药学等职业基础数学课程的失败

本文总结了2013年进行的一项研究，目的是预测哥斯达黎加大学(UCR)药学、数学、精算科学、物理和气象学学生的数学课程不合格率。使用应用于2010年队列的logistic回归统计技术，预测了上述项目中数学入门课程(物理与气象学的微积分101，数学与精算科学的数学原理以及药学的应用微分方程)学生的不合格率。在这些模型中，UCR的平均录取成绩、学生的体裁和定量技能测试的平均正确答案被用作预测变量。所有模型中最重要的变量是定量技能测试，正确分类率最高的模型是logistic回归。对于估计的物理-气象学、药学和数学-精算科学模型，正确分类分别为89.8%、73.6%和93.9%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Revista Electronica Educare Social Sciences-Education

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

28 weeks

期刊介绍： Educare Electronic Journal is edited and published by the Center for Research and Teaching in Education (Centro de Investigación y Docencia en Educación) from the Universidad Nacional (National University, Costa Rica). It is an international, quarterly, academic publication. Educare’s aim is to disseminate academic production in the area of Education, both nationally and internationally, allowing authors to communicate their findings, and readers, the possibility to discover the extensive work related to the discipline and its impact and relationship with other fields of knowledge. In search of the construction of interdisciplinary pedagogical thought, the Journal seeks academic reflection; the discussion and analysis of the published knowledge; the incorporation of new perspectives; the reference to innovation and the presentation of successful methodological applications. Aware of the wide range of expressions in this discipline, from theoretical conceptualizations to practical exercises, Educare offers a space for exchange, dissemination and promotion of Education.