多元招生政策下大学系统中硕士项目的退学和毕业集群

Q1 Social Sciences
Alexander Karl Ferdinand Loder
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引用次数: 0

摘要

奥地利(欧洲)允许学生同时或连续注册多个学位课程。在硕士学位水平上,这可能会为学生提供优势,比如有机会毕业而不是辍学。本研究的目的是确定硕士生的结果(毕业、退学),考虑到报名参加多个项目的可能性。2010/11至2022/23年期间,21412名硕士研究生的数据被用作分析的基础。考虑了辍学和毕业的所有可能的结果星座,并使用工作量和学期总体学习时间维度进行聚类。在mean、clara、pam和hclust四种算法上对每个结果星座进行聚类分析,得出不同大小的聚类。将集群分为低、中、高工作量和低、中、长持续时间,并对它们的频率进行汇总。结果表明,报名参加多个项目增加了总体学习时间和学生工作量,但也存在工作量减少的学生群体,可能从多次报名中受益。未来的研究需要检验不同专业之间的知识转移,并获得单招生学生和多招生学生在就业市场上表现差异的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Master's programs’ dropout and graduation clusters in a university system with a multiple enrollment policy
Austria (Europe) allows students to enroll in multiple degree programs simultaneously or consecutively. On the master's degree level this may offer advantages for students, such as a chance for graduation instead of dropping out. This study aimed to identify groups among master's students’ outcomes (graduation, dropout), considering the possibility of enrolling in multiple programs. Data from 21,412 master's degree students between 2010/11 to 2022/23 were used as a base for analyses. All possible outcome constellations of dropout and graduation have been considered and the dimensions workload and overall study duration in semesters were used for the clustering. Cluster analyses per outcome constellation, set up on the four algorithms kmeans, clara, pam and hclust, revealed differently sized clusters. Clusters were categorized into low, medium, high workload and low, medium, long duration and their frequencies were aggregated. The results suggest that enrolling in multiple programs increases overall study duration and student workload, but also that groups of students with reduced workload exist, possibly profiting from multiple enrollments. Future studies are needed to examine knowledge transfer between programs and to obtain information on differences between single-enrollment students and multiple-enrollment students in their performance in the job market.
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来源期刊
CiteScore
8.90
自引率
0.00%
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审稿时长
69 days
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