会计科学课程中数学、统计学和定量方法学科的表现

Renata Mendes de Oliveira, Regiane Aparecida Da Costa
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引用次数: 0

摘要

学习成绩被广泛认为是大学成功的主要预测因素之一,尤其是在观察数学、统计学和定量方法等在培训过程中至关重要的科目时。在这方面,本研究旨在确定与数学、统计学和定量方法学科中的个人特征和学习成绩态度相关的因素之间的关系,该学科在乌伯兰迪亚联邦大学庞塔尔校区的会计科学课程中教授。这项研究是通过一项调查进行的,采用印刷问卷,获得了75个有效答案。数据分析是在考虑逻辑回归模型估计的情况下进行的,该模型使用了Stata软件。通过估计的回归模型,发现涉及年龄和婚姻状况的因素与更高的失败概率有关,即表现较差,而工作日、频率、上课时间和课外学习的投入时间则表明有机会获得更高的表现或失败。这些发现有助于解释学业成绩的决定因素的研究,也有助于在学校环境中寻找利用成绩的策略的实践背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DESEMPENHO NAS DISCIPLINAS DE MATEMÁTICA, ESTATÍSTICA E MÉTODOS QUANTITATIVOS NO CURSO DE CIÊNCIAS CONTÁBEIS
Academic performance is widely considered one of the main predictors of a university’s success, especially when observing subjects that are of paramount importance in the training process, such as Mathematics, Statistics and Quantitative Methods. In this line, this research aimed to identify the relationship of factors related to individual characteristics and attitudes in academic performance in the disciplines of Mathematics, Statistics and Quantitative Methods, taught in the Accounting Sciences course at the Federal University of Uberlândia, campus Pontal. The research was carried out through a survey, with the application of printed questionnaires, obtaining 75 valid answers. The data analysis was developed considering the estimation of the logistic regression model, for which the Stata software was used. Through the estimated regression model, it was found that the elements referring to age and marital status are related to a higher probability of failure, that is, lower performance, while the workday, frequency, participation in classes and dedication time to extra-class studies indicate chance of obtaining higher performance or failing. These findings contribute to the flow of research that seeks to explain the determining factors of academic performance, as well as to the context of practice in the school environment in the search for the adoption of strategies that leverage performance.
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