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Computer Supported Collaborative Rocketry: Teaching students to distinguish good and bad data like expert physicists

机译:计算机支持的协作火箭:教导学生区分好坏数据,例如专家物理学家

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Each year our physical science class for pre-service elementary teachers launches water-powered rockets based on the activity from NASA.~1 We analyze the rocket flight using data from frame-by-frame video analysis of the launches. Before developing the methods presented in this paper, we noticed our students were mired in calculation details while losing sight of physical concepts. Sloppy measurements and calculations (even when using spreadsheets with formulas provided) sometimes led to such poor results that physical concepts could not be reliably taught from the data, but students were unmotivated to either notice or correct their errors. We adopted a collaborative, computer supported approach using simple and easily available functions in Google Spreadsheets to pool observations, provide instant feedback, and publicly display results from all teams side-by-side in real time. These instant comparisons promote student accountability and engagement, inspiring them to think more carefully about why answers may be different and notice sloppy data or unlikely outcomes-in short, to facilitate and motivate expert thinking about data
机译:每年,我们为职前基础老师开设的物理科学课都会根据NASA的活动发射水力火箭。〜1我们使用发射的逐帧视频分析数据来分析火箭飞行。在开发本文提出的方法之前,我们注意到我们的学生陷入了计算细节中,而忽视了物理概念。松散的测量和计算(即使使用提供了公式的电子表格)有时也会导致如此糟糕的结果,无法从数据中可靠地教授物理概念,但是学生没有动力去注意到或纠正他们的错误。我们采用了一种由计算机支持的协作方法,在Google Spreadsheets中使用简单易用的功能来汇总观察结果,提供即时反馈并实时并排显示所有团队的结果。这些即时比较可促进学生的责任感和参与度,激发他们更仔细地思考答案可能为何不同的原因,并注意到草率的数据或不太可能的结果-简而言之,以促进和激发专家对数据的思考

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