亲爱的招生委员会...: 申请论文中的哪些动作预测学生的士成绩?
Timon de Boer1,2, Frank Van Rijnsoever1, Hans de Bresser3
1Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, Utrecht State, The Netherlands.
PloS one
|June 28, 2024
概括
申请论文可以预测士课程的成功. 使用隐性狄里克莱特分配 (LDA) 分析特定的作文组件,可以发现哪些主题与学生的成绩有正或负相关性,从而提高了入学客观性.
科学领域:
- 教育心理学教育心理学
- 自然语言处理自然语言处理.
- 高等教育招生 高等教育招生
背景情况:
- 申请论文是常见的,但具有可疑有效性的主观录取工具.
- 传统的作文评分受主观性和评分者之间的可靠性差的影响.
- 需要客观的方法来提高入学申请论文的有效性.
研究的目的:
- 开发一种客观的方法来使用文本挖掘来分析申请论文.
- 调查特定的论文组件与士课程成功之间的关系.
- 确定申请论文是否可以作为学业成绩的有效预测指标.
主要方法:
- 隐性迪里克莱特分配 (LDA) 是一种文本挖掘技术,用于在应用论文中识别七种不同的"移动"或功能单元.
- 计算了每一个动作在试题中发生的概率.
- 这些概率被用来预测士课程的学生成绩.
主要成果:
- 在七个确定的动作中,有五个有显著的预测学生成绩.
- 被标记为"特定于大师"和"有兴趣学习"的动作与更高的成绩有正相关.
- 被标记为"研究技能"",社会影响"和"城市和大学"的迁移与更高的成绩有负相关性.
结论:
- 应用作文,当客观地使用LDA分析时,可以成为士课程成功的有效预测指标.
- 内在的动机和特定的知识,如文章内容所示,与学术成绩有积极的关联.
- 这项研究支持使用文本挖掘来更客观,更可靠地评估高等教育招生申请论文.
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