Department of Geological Sciences, Michigan State University, East Lansing, MI 48824, USA.
CBE Life Sci Educ. 2012 Spring;11(1):47-57. doi: 10.1187/cbe.11-07-0054.
We present a diagnostic question cluster (DQC) that assesses undergraduates' thinking about photosynthesis. This assessment tool is not designed to identify individual misconceptions. Rather, it is focused on students' abilities to apply basic concepts about photosynthesis by reasoning with a coordinated set of practices based on a few scientific principles: conservation of matter, conservation of energy, and the hierarchical nature of biological systems. Data on students' responses to the cluster items and uses of some of the questions in multiple-choice, multiple-true/false, and essay formats are compared. A cross-over study indicates that the multiple-true/false format shows promise as a machine-gradable format that identifies students who have a mixture of accurate and inaccurate ideas. In addition, interviews with students about their choices on three multiple-choice questions reveal the fragility of students' understanding. Collectively, the data show that many undergraduates lack both a basic understanding of the role of photosynthesis in plant metabolism and the ability to reason with scientific principles when learning new content. Implications for instruction are discussed.
我们提出了一个诊断问题群(DQC),用于评估本科生对光合作用的思考。这个评估工具不是用来识别个别误解的。相反,它侧重于学生通过运用基于几个科学原理的一系列协调实践来应用光合作用基本概念的能力:物质守恒、能量守恒和生物系统的层次性。比较了学生对该问题群各项的回答数据,以及在多项选择题、多项真假题和论文格式中使用部分问题的数据。一项交叉研究表明,多项真假题格式具有成为机器评分格式的潜力,这种格式可以识别出那些既有正确想法又有错误想法的学生。此外,对学生关于三个多项选择题的选择的访谈揭示了学生理解的脆弱性。总的来说,这些数据表明,许多本科生既缺乏对光合作用在植物代谢中作用的基本理解,也缺乏在学习新内容时运用科学原理进行推理的能力。讨论了对教学的影响。