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Developing an Analytical Framework to Characterize Student Reasoning about Complex Processes

机译:开发一个分析框架来表征学生对复杂过程的推理

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摘要

Real-world processes are complex and require ideas from multiple disciplines to be explained. However, many science courses offer limited opportunities for students to synthesize scientific ideas into coherent explanations. In this study, we investigated how students constructed causal explanations of complex phenomena to better understand the ways they approach this practice. We interviewed 12 undergraduate science majors and asked them to explain real-world phenomena. From these interviews, we developed a characterization framework that described the reasoning patterns we found. In this framework, we identified three explanatory frames that differentiated the kinds of explanations students provided: a colloquial frame, wherein participants activated conceptual resources based on personal experience using everyday language; an emerging mechanistic frame, wherein participants used scientific concepts in semicoherent ways; and a causal mechanistic frame, wherein participants cohesively drew upon scientific conceptual resources to construct mechanistic explanations. Overall, the causal mechanistic frame was the least prevalent frame invoked by students. Instead, many drew on an emerging mechanistic frame and struggled to identify and apply scientific concepts to real-world scenarios. We advocate for incorporating opportunities to reason about real-world phenomena into undergraduate science curricula to provide students with experience integrating scientific concepts to explain real-world phenomena.
机译:现实世界的过程很复杂,需要解释来自多个学科的想法。但是,许多科学课程为学生提供了将科学思想综合为连贯解释的有限机会。在这项研究中,我们调查了学生如何构建复杂现象的因果解释,以更好地理解他们采用这种做法的方式。我们采访了12个本科科学专业,并请他们解释现实世界的现象。通过这些访谈,我们开发了一个描述发现的推理模式的表征框架。在这个框架中,我们确定了三个解释框架,以区别学生提供的解释类型:口语框架,其中参与者根据日常使用的个人经验激活概念性资源;新兴的机制框架,其中参与者以半连贯的方式使用科学概念;以及因果机制,其中参与者紧密地结合科学概念资源来构造机制解释。总体而言,因果机制框架是学生调用的最不普遍的框架。取而代之的是,许多人采用了新兴的机制框架,并努力寻找科学概念并将其应用于现实世界中。我们提倡将对现实世界现象进行推理的机会纳入本科科学课程,为学生提供结合科学概念来解释现实世界现象的经验。

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