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Classroom Response Systems for Implementing Interactive Inquiry in Large Organic Chemistry Classes

机译:在大型有机化学课中实施交互式查询的课堂响应系统

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The authors have developed "sequence response applications" for classroom response systems (CRSs) that allow instructors to engage and actively involve students in the learning process, probe for common misconceptions regarding lecture material, and increase interaction between instructors and students. "Guided inquiry" and "discovery-based learning" are based on the premise that the best learning occurs when students are actively engaged in developing hypotheses and arriving at conclusions for themselves, rather than learning in a passive lecture format. In this regard, we use CRSs to actively engage large lectures of 300+ students, where the traditional interaction between students and instructors is commonly limited to the first several rows of the lecture hall. Moreover, series response applications allow a nearly free response format for questioning students, as opposed to the traditional multiple-choice question format commonly used with CRSs. As such, we have observed that students are more engaged and actively involved in answering questions. This paper provides several examples to illustrate how our stepwise technique can be used to demonstrate the depth of insight into student understanding, even of multistep thought processes, afforded through this stepwise analysis.
机译:作者开发了用于教室响应系统(CRS)的“序列响应应用程序”,该系统允许讲师让学生参与学习过程并使其积极参与,探究有关教材的常见误解,并增加讲师与学生之间的互动。 “引导式探究”和“基于发现的学习”是基于这样的前提,即当学生积极参与假设的制定并为自己得出结论时,最好的学习发生,而不是以被动的演讲形式进行学习。在这方面,我们使用CRS积极参与300多个学生的大型演讲,而学生和讲师之间的传统互动通常仅限于演讲厅的前几行。此外,与CRS常用的传统多项选择题格式相反,系列答题应用程序为提问的学生提供了几乎免费的答题格式。因此,我们观察到学生更积极地参与回答问题。本文提供了一些示例,以说明我们的逐步技术如何可以用来展示通过这种逐步分析提供的对学生理解的深刻理解,甚至包括对多步思考过程的理解。

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