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混合评估方法能否使生物课堂更加公平?

Can mixed assessment methods make biology classes more equitable?

作者信息

Cotner Sehoya, Ballen Cissy J

机构信息

Department of Biology Teaching and Learning, University of Minnesota, Minneapolis, Minnesota, United States of America.

出版信息

PLoS One. 2017 Dec 27;12(12):e0189610. doi: 10.1371/journal.pone.0189610. eCollection 2017.

Abstract

Many factors have been proposed to explain the attrition of women in science, technology, engineering and math fields, among them the lower performance of women in introductory courses resulting from deficits in incoming preparation. We focus on the impact of mixed methods of assessment, which minimizes the impact of high-stakes exams and rewards other methods of assessment such as group participation, low-stakes quizzes and assignments, and in-class activities. We hypothesized that these mixed methods would benefit individuals who otherwise underperform on high-stakes tests. Here, we analyze gender-based performance trends in nine large (N > 1000 students) introductory biology courses in fall 2016. Females underperformed on exams compared to their male counterparts, a difference that does not exist with other methods of assessment that compose course grade. Further, we analyzed three case studies of courses that transitioned their grading schemes to either de-emphasize or emphasize exams as a proportion of total course grade. We demonstrate that the shift away from an exam emphasis consequently benefits female students, thereby closing gaps in overall performance. Further, the exam performance gap itself is reduced when the exams contribute less to overall course grade. We discuss testable predictions that follow from our hypothesis, and advocate for the use of mixed methods of assessments (possibly as part of an overall shift to active learning techniques). We conclude by challenging the student deficit model, and suggest a course deficit model as explanatory of these performance gaps, whereby the microclimate of the classroom can either raise or lower barriers to success for underrepresented groups in STEM.

摘要

人们提出了许多因素来解释女性在科学、技术、工程和数学领域的流失现象,其中包括女性在入门课程中的表现较差,这是由于入学准备不足造成的。我们关注混合评估方法的影响,这种方法将高风险考试的影响降到最低,并奖励其他评估方法,如小组参与、低风险测验和作业以及课堂活动。我们假设这些混合方法将使那些在高风险测试中表现不佳的人受益。在这里,我们分析了2016年秋季9门大型(N>1000名学生)生物学入门课程中基于性别的成绩趋势。与男性相比,女性在考试中的表现较差,但在构成课程成绩的其他评估方法中不存在这种差异。此外,我们分析了三门课程的案例研究,这些课程改变了评分方案,以减少或增加考试在课程总成绩中所占的比例。我们证明,减少对考试的重视会使女学生受益,从而缩小整体成绩的差距。此外,当考试在课程总成绩中所占比例降低时,考试成绩差距本身也会缩小。我们讨论了从我们的假设中得出的可检验预测,并主张使用混合评估方法(可能作为向主动学习技术全面转变的一部分)。我们通过挑战学生缺陷模型来得出结论,并提出一个课程缺陷模型来解释这些成绩差距,即课堂的微观环境可以提高或降低STEM中代表性不足群体取得成功的障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edf6/5744948/8f27806f45eb/pone.0189610.g001.jpg

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