向中学生介绍大数据及其社会影响:创新学习环境中的研究

Einat Gil, Alison L Gibbs
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引用次数: 1

摘要

在本文中,我们报告了一项创新课程单元的研究,在该单元中,中学生使用本地和全球背景下的真实多元数据学习大数据。该单元旨在提高学生的协变推理能力和对大数据概念的参与,同时体验如何使用统计工具来调查趋势和关系,从而做出对社会有积极影响的决策。受未来课堂概念的启发,该项目使用交互式编排学习空间(IOLS)和知识社区方法来创造一个多学科的学习环境。采用混合方法和研究工具对学生的学习情况进行调查。本研究的发现,包括知识收获,与学生使用协变推理的例子一起呈现,以创建大城市变革的论据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing secondary school students to big data and its social impact: a study within an innovative learning environment
In this paper we report on a study of an innovative curriculum unit in which secondary school students learned about Big Data using real multivariate data with local and global contexts. The unit was designed to promote students’ covariational reasoning and engagement with big data concepts, while experiencing how statistical tools can be used to investigate trends and relationships to make decisions that can positively impact society. Inspired by notions of Classroom of the Future, the program used Interactive Orchestrated Learning Space (IOLS) and knowledge community approaches to create a multi-disciplinary learning environment. Students’ learning was investigated with mixed methods research tools. Findings from this study, including knowledge gains, are presented together with examples of students’ use of covariational reasoning to create arguments for change in a large city.
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