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首页> 外文期刊>Chemistry Education Research and Practice >Engaging students in analyzing and interpreting data to construct mathematical models: an analysis of studentsa?? reasoning in a method of initial rates task
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Engaging students in analyzing and interpreting data to construct mathematical models: an analysis of studentsa?? reasoning in a method of initial rates task

机译:促使学生分析和解释数据以构建数学模型:对学生的分析?初始费率方法中的推理

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摘要

Models related to the topic of chemical kinetics are critical for predicting and explaining chemical reactivity. Here we present a qualitative study of 15 general chemistry studentsa?? reasoning about a method of initial rates task. We asked students to discuss their understanding of the terms rate law and initial rate, and then analyze rate and concentration data in order to construct a rate law. We also asked participants to critique rate laws constructed by hypothetical students. We discuss five patterns in the studentsa?? approach to the method of initial rates task, ranging from the use of surface-features, such as stoichiometric coefficients in the construction of a rate law, to more sophisticated interpretations and mathematization of the trends in the data. Findings highlight specific difficulties with inter-related competences required to engage in the task, such as interpreting data and reasoning mathematically, and provide insight into assessment strategies for similar tasks.
机译:与化学动力学主题相关的模型对于预测和解释化学反应性至关重要。在这里,我们对15名普通化学学生进行定性研究。关于初始费率任务方法的推理。我们要求学生讨论他们对术语费率定律和初始费率的理解,然后分析费率和集中度数据以构建费率定律。我们还要求参与者批判由假设学生构建的定律。我们在学生中讨论了五个模式?初始速率任务方法的一种方法,范围从使用表面特征(如构建速率定律的化学计量系数)到数据趋势的更复杂的解释和数学化。调查结果突出显示了参与任务所需的具有相互联系的能力的特定困难,例如数据解释和数学推理,并为类似任务的评估策略提供了见识。

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