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Gender-based comparison of students’ academic performance using regression models

机译:基于性别的学生学习型号的比较使用回归模型

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The process required to gain admission into tertiary institutions is challenging for Nigerian students. This is due to the various examinations and requirements that must be met to be qualified for admission among innumerable applicants. It is therefore imperative that after admission, students must pursue academic excellence to justify the opportunity given to them, and this will also improve their chances of success after graduation. In a university, some first-year students struggle because of cultural disadvantages, as well as their economic and social backgrounds. This has resulted in poor performance by some students and inevitably led to bad grades at graduation and some drop out of the university without graduating. Female students are often said to perform a bit poorer in terms of academic performance. This study is a comparative performance analysis of male and female students in Science, Technology, Engineering and Mathematics (STEM), conducted using regression models. Trend analysis shows that in this case study, female students have a tendency to improve on their academic performance from their first to their final year. The highest R-squared value of 0.7069 was achieved based on a regression analysis of the performance of 1,093 female students.
机译:获得大专院校所需的过程是对尼日利亚学生的挑战。这是由于必须满足的各种考试和要求,以获得无数申请人的录取。因此,在入学后,学生必须追求学术卓越,以证明给予他们的机会,这也将提高毕业后取得成功的机会。在一所大学,某些第一年的学生因文化缺点而奋斗,以及他们的经济和社会背景。这导致了一些学生的表现不佳,不可避免地导致毕业生的糟糕成绩,在没有毕业的情况下辍学。女学生经常被称在学术表现方面表现得较差。本研究是使用回归模型进行的科学,技术,工程和数学(Stem)的男性和女学生的比较绩效分析。趋势分析表明,在这种情况下,女学生倾向于将他们的学术表现从他们的最后一年提高。基于对1,093名女学生的表现的回归分析,实现了0.7069的最高r树。

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