根据知识领域和机构,确定和比较影响早期大学学率的主要变量
Alba Llauró1, David Fonseca1, Susana Romero2
1Technology Enhanced Learning Research Line of Human Environment Research Group (HER-TEL), La Salle, Ramon Llull University, Barcelona, Spain.
Heliyon
|July 13, 2023
概括
大学学生的学是令人担忧的. 本研究通过分析入学档案和第一年经验来识别有风险的学生,旨在降低第一年学率. 导师 导师 导师
科学领域:
- 教育心理学教育心理学
- 教育社会学教育的社会学
- 高等教育研究 高等教育研究
背景情况:
- 大学学生学率是教育机构和公共组织的重要关注点.
- 现有的研究往往侧重于量化学和识别有助于变量.
- 需要采用多学科的方法来了解影响学生留学的复杂因素.
研究的目的:
- 参数化定义本科生入学概况的因素,以减少第一年学率.
- 调查辅导员对学生个性变量的权重及其学科/区域差异.
- 根据入学特征,识别出面临更高学风险的学生,并确保获得积极的第一年经验.
主要方法:
- 一种多学科的方法,结合了定性和定量方法.
- 开发和应用一个调查工具,以测量基于导师加权变量的学风险.
- 与三个西班牙大学在不同地区和学科的合作.
主要成果:
- 关键学生个人资料变量影响学风险的分类,用于早期导师监测.
- 使用全球与特定权重系统的平均退学风险没有显著差异.
- 对以纪律为重点的权重系统的倾向,以更准确地识别学生真正的学风险.
结论:
- 通过入学个人资料分析,早期识别有风险的学生对于留学生至关重要.
- 导师对学生变量的感知和权衡,特别是在学科背景下,对于风险评估是有价值的.
- 基于已识别的风险因素的有针对性的干预措施可以帮助减轻第一年大学学率.
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