Teaching Big Data Concepts through Air Pollution Data: A High School Instructional Module

Jui-Ting Chen, Chiu-Fan Hu, Cheng-Chih Wu
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Abstract

In this study, we developed an instructional module consisting of four units to help high school students understand the 4V concepts of big data by exploring air pollution. The instructional module enabled students to explore air quality data on specific websites, and asked students to create a "calendar heat map" using open dataset. We taught the module in a high school class and the results demonstrated that students gained knowledge about big data, and became more aware of the impact of air pollution in their lives.
通过空气污染数据教授大数据概念:一个高中教学模块
在本研究中,我们开发了一个由四个单元组成的教学模块,通过探索空气污染来帮助高中生理解大数据的4V概念。教学模块使学生能够在特定网站上探索空气质量数据,并要求学生使用开放数据集创建“日历热图”。我们在一个高中课堂上教授了这个模块,结果表明学生们获得了关于大数据的知识,并且更加意识到空气污染对他们生活的影响。
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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