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Orchestrating Productive Mathematical Discussions: Five Practices for Helping Teachers Move Beyond Show and Tell

机译:编排生产性数学讨论:帮助教师超越表演和讲述的五种实践

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Teachers who attempt to use inquiry-based, student-centered instructional tasks face challenges that go beyond identifying well-designed tasks and setting them up appropriately in the classroom. Because solution paths are usually not specified for these kinds of tasks, students tend to approach them in unique and sometimes unanticipated ways. Teachers must not only strive to understand how students are making sense of the task but also begin to align students' disparate ideas and approaches with canonical understandings about the nature of mathematics. Research suggests that this is difficult for most teachers (Ball, 1993, 2001; Leinhardt & Steele, 2005; Schoenfeld, 1998; Sherin, 2002). In this article, we present a pedagogical model that specifies five key practices teachers can learn to use student responses to such tasks more effectively in discussions: anticipating, monitoring, selecting, sequencing, and making connections between student responses. We first define each practice, showing how a typical discussion based on a cognitively challenging task could be improved through their use. We then explain how the five practices embody current theory about how to support students' productive disciplinary engagement. Finally, we close by discussing how these practices can make discussion-based pedagogy manageable for more teachers.
机译:尝试使用基于探究,以学生为中心的教学任务的教师所面临的挑战,不仅是确定精心设计的任务并在教室中进行适当设置。由于通常不会为此类任务指定解决方案路径,因此学生倾向于以独特的,有时是无法预料的方式来解决问题。教师不仅必须努力了解学生如何理解任务,而且必须开始使学生不同的思想和方法与对数学本质的规范理解保持一致。研究表明,这对大多数教师来说是困难的(Ball,1993,2001; Leinhardt&Steele,2005; Schoenfeld,1998; Sherin,2002)。在本文中,我们提供了一种教学模型,该模型指定了教师可以在讨论中更有效地利用学生对此类任务的反应的五个关键实践:预期,监视,选择,排序以及在学生的响应之间建立联系。我们首先定义每种练习,显示如何通过使用具有挑战性的认知任务来改进典型的讨论。然后,我们将解释这五个实践如何体现当前有关如何支持学生的生产性学科参与的理论。最后,我们最后讨论这些实践如何使基于讨论的教学法对更多的老师来说易于管理。

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