Going Beyond Formalisms A Grounded and Embodied Learning Approach to the Design of Pedagogical Statistics Simulations

Sebahat Gok, Robert L. Goldstone
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引用次数: 1

Abstract

Computer-based interactive simulations that model the processes of sampling from a population are increasingly being used in data literacy education. However, these simulations are often summarized by graphs designed from the point of view of experts which makes them difficult for novices to grasp. In our ongoing design-based research project, we build and test alternative sampling simulations to the standard ones. Based on a grounded and embodied learning perspective, the core to our design position is that difficult and abstract sampling concepts and processes should: be grounded in familiar objects that are intuitive to interpret, incorporate concrete animations that spontaneously activate learners’ gestures, and be accompanied by verbal instruction for a deeply integrated learning. Here, we report the results from the initial two phases of our project. In the first iteration, through an online experiment (N=126), we show that superficial perceptual elements in a standard simulation can lead to misinterpretation of concepts. In the second iteration, we pilot test a new grounded simulation with think-aloud interviews (N=9). We reflect on the complementary affordances of visual models, verbal instruction, and learners’ gestures in fostering integrated and deep understanding of concepts.
超越形式主义:教学统计模拟设计的基础和具体化学习方法
在数据素养教育中,越来越多地使用基于计算机的交互式模拟来模拟从人口中抽样的过程。然而,这些模拟通常是由专家的角度设计的图形来总结的,这使得新手很难掌握。在我们正在进行的基于设计的研究项目中,我们构建并测试了标准采样模拟的替代采样模拟。基于扎根和具体化的学习视角,我们设计立场的核心是,困难和抽象的采样概念和过程应该:基于熟悉的物体,直观地解释,结合具体的动画,自发地激活学习者的手势,并伴随着口头指导,以实现深度整合学习。在这里,我们报告项目最初两个阶段的结果。在第一次迭代中,通过在线实验(N=126),我们表明标准模拟中肤浅的感知元素可能导致对概念的误解。在第二次迭代中,我们用有声思考访谈(N=9)试点测试了一个新的接地模拟。我们反思了视觉模型、口头教学和学习者的手势在促进对概念的综合和深刻理解方面的互补启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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