Department of Biology, Georgia State University, Atlanta, GA 30303.
Department of Biological Sciences, Purdue University, West Lafayette, IN 47907.
CBE Life Sci Educ. 2018 Dec;17(4):ar65. doi: 10.1187/cbe.18-01-0007.
As undergraduate biology curricula increasingly aim to provide students with access to courses and experiences that engage them in the practices of science, tools are needed for instruction, evaluation, and research around student learning. One of the important skills for undergraduate biology students to master is the selection and creation of appropriate graphs to summarize data they acquire through investigations in their course work and research experiences. Graphing is a complex skill, and there are few, discipline-informed tools available for instructors, students, and researchers to use. Here, we describe the development of a graph rubric informed by literature from the learning sciences, statistics, representations literature, and feedback and use of the rubric by a variety of users. The result is an evidence-based, analytic rubric that consists of categories essential for graph choice and construction: graph mechanics, graph communication, and graph choice. Each category of the rubric can be evaluated at three levels of achievement. Our analysis demonstrates the potential for the rubric to provide formative feedback to students and allow instructors to gauge and guide learning and instruction. We further discuss and identify potentially interesting research targets for science education researchers.
随着本科生物学课程越来越旨在为学生提供接触使他们参与科学实践的课程和经验的机会,围绕学生学习的教学、评估和研究需要工具。本科生物学学生需要掌握的重要技能之一是选择和创建适当的图表,以总结他们在课程作业和研究经验中通过调查获得的数据。制图是一项复杂的技能,教师、学生和研究人员可用的工具很少,也没有受到学科的启发。在这里,我们描述了一个图表评分标准的开发,该评分标准是由学习科学、统计学、表示法文献以及各种用户对评分标准的反馈和使用的文献提供信息的。其结果是一个基于证据的、分析性的评分标准,其中包括选择和构建图表的基本类别:图表力学、图表交流和图表选择。评分标准的每个类别都可以在三个成就水平上进行评估。我们的分析表明,该评分标准有可能为学生提供形成性反馈,并允许教师衡量和指导学习和教学。我们进一步讨论并确定了科学教育研究人员可能感兴趣的潜在研究目标。