按录取类型划分的大学生纵向学业成绩分析

K. Chon, Bitna Lee
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引用次数: 0

摘要

本研究探讨了被录取学生在过去五个学年中的学业成绩趋势。我们以学业成绩增长的纵向分析为重点,利用了2018年至2022年大都会地区K大学录取学生的面板数据。分析结果显示,学业成绩的变化趋势因录取年份和录取类型的不同而存在差异。根据2018年至2022年的GPA数据分析,学生的成绩普遍优于基于文件的面试、基于文件的录取、基于高中科目成绩的录取和基于考试成绩的录取类型,依次为基于文件的面试、基于文件的录取、基于高中科目成绩的录取和基于考试成绩的录取。尤其是通过证件制录取的学生,在COVID-19大流行前后,成绩变化趋势明显。此外,在 2018 年和 2020 年的学业成绩数据中,入学时间与录取类型之间的交互效应在统计学上具有重要意义。这表明,不同入学类型在入学期间的学业成绩趋势有所不同。该研究通过纵向分析学生从入学到入学期间的学业成绩增长情况,为大学教育成果评估提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of College Students' Longitudinal Academic Achievement by Admission Type
This study explored trends in academic achievement over the past five academic years among admitted students. Focusing on the longitudinal analysis of academic growth, we utilized panel data from students admitted to K University in the metropolitan area from 2018 to 2022. The analysis revealed that trends in academic achievement varied differentially based on the year of admission and admission types. According to the analysis of GPA data from 2018 to 2022, students generally outperformed in the order of document-based interview, document-based, high school subject achievement-based, and test score-based admission types. Particularly, for students admitted through document-based admission, there was a distinct change in the grade trend before and after the COVID-19 pandemic. Furthermore, significant interaction effects between the enrollment period and admission types were statistically significant in the academic performance data for the years 2018 and 2020. This indicates that trends in academic achievement over the enrollment period differ by admission types. The study provides valuable insights by longitudinally analyzing students' academic growth from admission to enrollment, contributing to the assessment of university education outcomes.
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