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一项关于STEM入门通用化学课程及减少成绩差距的24年纵向研究。

A 24-year longitudinal study on a STEM gateway general chemistry course and the reduction of achievement disparities.

作者信息

Basu Partha, Malik David J, Graunke Steven

机构信息

Department of Chemistry and Chemical Biology, Indiana University Indianapolis, Indianapolis, Indiana, United States of America.

Analysis and Institutional Effectiveness, Indiana University Indianapolis, Indianapolis, Indiana, United States of America.

出版信息

PLoS One. 2025 Feb 26;20(2):e0318882. doi: 10.1371/journal.pone.0318882. eCollection 2025.

Abstract

The "First Year Experience" is a critical component of retention of STEM majors. Often, general chemistry has been labeled as a "gatekeeper" course for STEM careers due to a high attrition rate and a course that leads to increased time for graduation when students are inadequately prepared. We demonstrate that the active learning strategy Peer-Led Team Learning (PLTL) model increases student retention (%DFW calculated from earned grades A through F plus withdrawals, W) and success (%ABC calculated from earned grades A through F). We have analyzed approximately 24 years of data in general chemistry I (~20,000 students), using Analysis of Covariance (ANCOVA), which showed progressive, significant improvement in both student success and completion metrics. A Hierarchical Linear Modeling (HLM), using a combination of course and student-level variables, demonstrated the impact of PLTL on internal exam metrics and overall course grades. Further, HLM modeling assessed the impact of PLTL controlling for various student demographics. PLTL strongly impacted URM student completion rates to a greater degree than well-represented students, reducing the URM/non-URM achievement gap.

摘要

“第一年学习经历”是理工科专业学生留校率的关键组成部分。通常,普通化学由于高退学率,被视为理工科职业的“把关”课程,并且当学生准备不充分时,该课程会导致毕业所需时间增加。我们证明,主动学习策略同伴引导团队学习(PLTL)模式提高了学生留校率(根据A至F成绩以及退学情况计算的%DFW)和成功率(根据A至F成绩计算的%ABC)。我们使用协方差分析(ANCOVA)对大约24年的普通化学I数据(约20,000名学生)进行了分析,结果显示学生的成功率和结业指标都有逐步显著的提高。使用课程和学生层面变量相结合的分层线性模型(HLM),证明了PLTL对内部考试指标和整体课程成绩的影响。此外,HLM建模评估了PLTL对各种学生人口统计学特征的控制影响。PLTL对少数族裔学生的结业率影响比非少数族裔学生更大,缩小了少数族裔/非少数族裔的成绩差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17ab/11864549/667703ca0eef/pone.0318882.g001.jpg

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