开发数学教师教学内容知识(PCK)评估时遇到的解包响应过程问题

Martha L. Epstein, Hamza Malik, Kun Wang, C. Orrill
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引用次数: 0

摘要

在评估数学教师知识的项目中,唤起期望的反应过程是至关重要的——按照项目开发者的意图,由教师来解释和回应。在本研究中,我们试图揭示中学数学教师与旨在评估其教学内容知识(PCK)的建构性反应(即开放式)项目之间不一致的证据。我们分析了最近的数据,这些数据来自对13名教师的有声思考访谈,涉及38个评估项目,旨在挖掘比例推理的PCK。发现了与不良反应过程相关的五个关键问题:(1)场景提供的信息不足;(2)内容知识(CK)和内容知识(PCK)元素混淆;(3)关于场景的问题缺乏特异性;(4)项目包含分散注意力的文本和/或视觉元素;(5)数学教育研究和课堂教师工作文化之间的差异导致对项目的意外解释。这些问题与教师有问题的回答有关(例如,含糊不清,跑题等)。此外,我们认为获得反应过程证据是至关重要的,而获得证据的方式可能会影响最终开发的评估项目池的平均难度。
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Unpacking Response Process Issues Encountered When Developing a Mathematics Teachers’ Pedagogical Content Knowledge (PCK) Assessment
ABSTRACT It is essential for items in assessments of mathematics’ teacher knowledge to evoke the desired response processes – to be interpreted and responded to by teachers as intended by item developers. In this study, we sought to unpack evidence that middle school mathematics teachers were not consistently interacting as intended with constructed response (i.e. open-ended) items designed to assess their pedagogical content knowledge (PCK). We analyzed recent data derived from think-aloud interviews with 13 teachers involving 38 assessment items designed to tap PCK regarding proportional reasoning. Five key issues associated with undesired response processes were identified: (1) scenarios provided insufficient information, (2) content knowledge (CK) and PCK elements were confounded, (3) questions asked about the scenarios lacked specificity, (4) items contained distracting text and/or visual elements, and (5) differences between math education research and classroom teacher work cultures led to unanticipated interpretations of items. These issues were associated with teacher responses that were problematic (e.g. vague, off topic, etc.). In addition, we suggest that obtaining response process evidence is critical, and the way it is obtained may impact the average difficulty of the final pool of assessment items developed.
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来源期刊
Investigations in Mathematics Learning
Investigations in Mathematics Learning Mathematics-Mathematics (all)
CiteScore
2.10
自引率
0.00%
发文量
22
期刊最新文献
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