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探究机械工程专业学生对同学看法的偏见。

Exploring bias in mechanical engineering students' perceptions of classmates.

机构信息

Graduate School of Education, Stanford University, Stanford, California, United States of America.

Laboratory of Atomic and Solid State Physics, Department of Physics, Cornell University, Ithaca, New York, United States of America.

出版信息

PLoS One. 2019 Mar 7;14(3):e0212477. doi: 10.1371/journal.pone.0212477. eCollection 2019.

Abstract

Gender disparity in science, technology, engineering, and math (STEM) fields is an on-going challenge. Gender bias is one of the possible mechanisms leading to such disparities and has been extensively studied. Previous work showed that there was a gender bias in how students perceived the competence of their peers in undergraduate biology courses. We examined whether there was a similar gender bias in a mechanical engineering course. We conducted the study in two offerings of the course, which used different instructional practices. We found no gender bias in peer perceptions of competence in either of the offerings. However, we did see that the offerings' different instructional practices affected aspects of classroom climate, including: the number of peers who were perceived to be particularly knowledgeable, the richness of the associated network of connections between students, students' familiarity with each other, and their perceptions about the course environment. These results suggest that negative bias against female students in peer perception is not universal, either across institutions or across STEM fields, and that instructional methods may have an impact on classroom climate.

摘要

科学、技术、工程和数学(STEM)领域的性别差距是一个持续存在的挑战。性别偏见是导致这种差距的可能机制之一,已经得到了广泛的研究。以前的工作表明,学生在本科生物学课程中对同伴能力的看法存在性别偏见。我们研究了在机械工程课程中是否存在类似的性别偏见。我们在该课程的两个不同课程中进行了研究,这些课程采用了不同的教学实践。我们没有发现同伴对能力的感知存在性别偏见。然而,我们确实看到不同的教学实践影响了课堂氛围的各个方面,包括:被认为特别有知识的同伴的数量、学生之间关联网络的丰富程度、学生之间的熟悉程度以及他们对课程环境的看法。这些结果表明,对女学生的负面偏见在同伴认知中并不是普遍存在的,无论是在不同的机构还是在 STEM 领域,教学方法可能会对课堂氛围产生影响。

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