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Determinants of University Student’s Academic Achievements and Gender Differences: The Case of Addis Ababa University Main Campus

机译:大学生学习成绩和性别差异的决定因素:以亚的斯亚贝巴大学主校区为例

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The study was conducted to assess university students’ academic achievement and identify the factors that determines the differences in academic achievement between gender. Purposive sampling techniques was used to select study site, whereas we used accidental sampling to draw respondents. Questionnaires was distributed to 75 students while, qualitative data was obtained from 12 interviewees. Quantitative data was analyzed by ordinal logit and logistic regressions, whereas qualitative date was analyzed by describing of respondents’ opinion. The result of ordinal logit model revealed that high school type, family income, and whether students live in dorm, mother education and university entrance score positively influences students’ academic achievements. Regarding, the differences in academic performances, more than half (59.15%) of respondents stated that, there was difference in academic achievement between genders. Accordingly, nearly more than half (54.35%) of respondents and highest proportion of interviewee stated that boys were better than female students. The result of logistic regression shows that family income, mothers education, fathers occupation, mothers occupation and CGPA have a significant association with the gender difference in academic performance. Therefore, students for excellent academic performance requires in addition to other factors a good home and school environment. For excellent academic performances students require very good high school type and university entrance score. Furthermore, in order to reduce gender gap and disparity in education attainment, female students should be empowered though adequate training, guidance, tutor and consoling in and outside of the class.
机译:该研究旨在评估大学生的学业成绩,并确定决定性别之间学业差异的因素。目的抽样技术用于选择研究地点,而我们使用意外抽样来吸引受访者。调查问卷分发给了75名学生,同时从12名受访者那里获得了定性数据。定量数据通过顺序logit和logistic回归分析,而定性日期通过描述受访者的意见进行分析。序数logit模型的结果表明,高中类型,家庭收入以及学生是否住在宿舍,母亲受教育程度和大学入学分数对学生的学业成绩有积极影响。关于学业成绩的差异,超过一半(59.15%)的受访者表示,性别之间的学业成绩存在差异。因此,近一半以上(54.35%)的受访者和受访者中最高比例的受访者表示,男生比女生好。 Logistic回归结果显示,家庭收入,母亲的教育程度,父亲的职业,母亲的职业和CGPA与学业中的性别差异显着相关。因此,为取得出色的学习成绩,学生除了需要其他因素外,还需要一个良好的家庭和学校环境。为了获得出色的学习成绩,学生需要非常好的高中类型和大学入学分数。此外,为了减少性别差距和受教育程度的差异,应通过课堂内外的适当培训,指导,辅导和安慰,赋予女学生权力。

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