探索数据物理化在STEM学习中的潜力

S. Hayes
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引用次数: 2

摘要

这篇论文概述了我作为博士研究的一部分所进行的研究。本研究的目的是探索数据物理化的潜力,以加强和改善STEM学习。具体来说,这项研究的重点是探索物理数据表示可以用来澄清密集的科学、技术、工程或数学概念的方法,并支持新的交互以增加用户参与度和学习。我的目标是通过设计、部署和评估一系列代表STEM概念和数据集的数据物理化来实现这一目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Potential of Data Physicalization for STEM Learning
This paper presents an overview of the research that I have conducted as part of my PhD studies. The aim of this research is to explore the potential of data physicalization to enhance and improve STEM learning. Specifically, this research is focused on exploring the ways in which physical data representations can be used to clarify dense scientific, technological, engineering or mathematical concepts, and support novel interactions to increase user engagement and learning. My aim is to achieve this through the design, deployment and evaluation of a series of data physicalizations representing STEM concepts and data sets.
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