Suppr超能文献

性别认同与学生对生物科学 CUREs 和传统实验室课程中同伴研究能力的看法。

Gender Identity and Student Perceptions of Peer Research Aptitude in CUREs and Traditional Laboratory Courses in the Biological Sciences.

机构信息

Department of Biological Sciences, The University of Texas at El Paso, El Paso, TX 79968.

出版信息

CBE Life Sci Educ. 2023 Dec;22(4):ar53. doi: 10.1187/cbe.22-03-0054.

Abstract

While several studies have investigated gender inequities in the social learning environment of biology lecture courses, that same phenomenon remains largely unexplored in biology laboratory contexts. We conducted a mixed methods study to understand the influence of gender on student perceptions of their peers' research aptitude in introductory biology CUREs and traditional laboratory courses. Specifically, students ( = 125) were asked to complete a name generator survey at three time points across the semester. This survey asked students to list the names of peers whom they viewed as "most proficient" in the course investigations and to justify their choice via an open-ended response prompt. Using social network analysis, exponential random graph modeling (ERGM), and thematic analysis, we demonstrate that student gender identity did not influence nomination behaviors in CURE or traditional laboratory courses. However, the ERGMs reveal the presence of a popularity effect in CUREs and demonstrate that mutual nominations were more prevalent in traditional laboratory courses. Our qualitative data further provide insights into the reasons students nominated peers as proficient in CURE and traditional courses.

摘要

尽管有几项研究调查了生物学讲座课程的社会学习环境中的性别不平等现象,但同样的现象在生物学实验室环境中仍在很大程度上未被探索。我们进行了一项混合方法研究,以了解性别对学生对其同伴在入门生物学 CURE 和传统实验室课程中研究能力的看法的影响。具体来说,学生(= 125)在整个学期的三个时间点被要求完成一个名称生成器调查。该调查要求学生列出他们认为在课程调查中“最熟练”的同学的名字,并通过开放式回答提示来证明他们的选择。使用社会网络分析、指数随机图模型(ERGM)和主题分析,我们证明学生的性别认同并没有影响 CURE 或传统实验室课程中的提名行为。然而,ERGM 揭示了 CURE 中存在流行效应,并表明在传统实验室课程中相互提名更为普遍。我们的定性数据进一步提供了学生在 CURE 和传统课程中提名同学为熟练同学的原因的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07bd/10756035/698ad117096a/cbe-22-ar53-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验