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首页> 外文期刊>American Journal of Applied Mathematics and Statistics >Covariance Structure Modeling of Academic Performance on Mathematics Students in South-Western Nigerian Polytechnics
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Covariance Structure Modeling of Academic Performance on Mathematics Students in South-Western Nigerian Polytechnics

机译:尼日利亚西南理工大学数学专业学生学习成绩的协方差结构建模

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摘要

Mathematics is a very important subject. It is the language of science and technology and so it is a force to reckon with in the development of any nation. Several studies on factors that affect mathematics achievement have been conducted. However, studies on factors that affect mathematics achievement among Polytechnics students in Nigeria seem to be rare. This study identified the variables that tend to affect academic performance among mathematics students and developed covariance structure model for examining the relationships between the variables. This was with a view to providing an appropriate frame work for predicting academic performance. Study participants were 240 students selected by convenience sampling from six Polytechnics (three State-owned and three Federal-owned) in the South-Western Nigeria. A self-report questionnaire was administered on participants to collect information on demographic factors, self concept, training environment and circumstances used to determine the academic performance of students. Data collected was analyzed using percentages and covariance structure model technique. It explained self-concept, training environment and circumstances affect academic performance, with a good model fit. The model supposes that the perceived attributes of self concept, training environment and circumstances in polytechnics predict the academic performance. The result showed that self-concept, training environment and circumstances has influences on students’ academic performance in Nigerian polytechnic.
机译:数学是一门非常重要的学科。它是科学和技术的语言,因此在任何国家的发展中都是不可忽视的力量。已经进行了一些影响数学成绩的因素的研究。但是,关于尼日利亚理工学院学生中影响数学成绩的因素的研究似乎很少。本研究确定了倾向于影响数学学生学习成绩的变量,并开发了协方差结构模型来检查变量之间的关系。这是为了为预测学习成绩提供适当的框架。研究参与者是通过便利抽样从尼日利亚西南部的六所理工学院(三所国有和三所联邦拥有)中选出的240名学生。对参与者进行了自我报告调查表,以收集有关人口统计学因素,自我概念,培训环境和用于确定学生学习成绩的情况的信息。使用百分比和协方差结构模型技术分析收集的数据。它解释了自我概念,培训环境和环境会影响学业成绩,并具有良好的模型适应性。该模型假设,理工学院的自我概念,培训环境和环境的感知属性可预测学习成绩。结果表明,自我概念,培训环境和环境对尼日利亚理工学院学生的学习成绩有影响。

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