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跨越界限:衡量本科生跨学科科学理解水平的步骤。

Crossing Boundaries: Steps Toward Measuring Undergraduates' Interdisciplinary Science Understanding.

机构信息

Department of Biology, Portland State University, Portland, OR 97201.

出版信息

CBE Life Sci Educ. 2020 Mar;19(1):ar8. doi: 10.1187/cbe.19-09-0168.

Abstract

A desired outcome of education reform efforts is for undergraduates to effectively integrate knowledge across disciplines in order to evaluate and address real-world issues. Yet there are few assessments designed to measure if and how students think interdisciplinarily. Here, a sample of science faculty were surveyed to understand how they currently assess students' interdisciplinary science understanding. Results indicate that individual writing-intensive activities are the most frequently used assessment type (69%). To understand how writing assignments can accurately assess students' ability to think interdisciplinarily, we used a preexisting rubric, designed to measure social science students' interdisciplinary understanding, to assess writing assignments from 71 undergraduate science students. Semistructured interviews were conducted with 25 of those students to explore similarities and differences between assignment scores and verbal understanding of interdisciplinary science. Results suggest that certain constructs of the instrument did not fully capture this competency for our population, but instead, an interdisciplinary framework may be a better model to guide assessment development of interdisciplinary science. These data suggest that a new instrument designed through the lens of this model could more accurately characterize interdisciplinary science understanding for undergraduate students.

摘要

教育改革努力的一个期望结果是让本科生能够有效地整合跨学科的知识,以便评估和解决现实世界中的问题。然而,很少有评估设计用于衡量学生是否以及如何进行跨学科思考。在这里,对一部分科学教师进行了调查,以了解他们目前如何评估学生的跨学科科学理解。结果表明,个人写作密集型活动是最常用的评估类型(69%)。为了了解写作作业如何准确评估学生的跨学科思考能力,我们使用了一个预先存在的评分标准,旨在衡量社会科学学生的跨学科理解能力,来评估 71 名本科科学学生的写作作业。对其中的 25 名学生进行了半结构化访谈,以探讨作业分数和口头理解跨学科科学之间的相似之处和差异。结果表明,该工具的某些结构并未完全捕捉到我们人群的这种能力,而是跨学科框架可能是指导跨学科科学评估发展的更好模型。这些数据表明,通过这种模式设计的新工具可以更准确地描述本科生的跨学科科学理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb8a/8697648/7db05417ecfd/cbe-19-ar8-g001.jpg

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