Multi-dimensional and Customizable Open-Source Labware for Promoting Big Data Analytical Skills in STEM Education

被引：0

作者：

Xie, Ying ^{[1
]}

Qian, Kai ^{[1
]}

He, Jing ^{[1
]}

机构：

[1] Kennesaw State Univ, Dept Comp Sci, Kennesaw, GA 30144 USA

来源：

2016 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE) | 2016年

关键词：

component; big data; labware; STEM education;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

In order to remove resource barriers and smooth the learning curve for education on big data analytics in STEM disciplines, we develop an portable open source labware that is called STEM-BD for promoting education on big data analytics. STEM-BD integrates the following four critical components, big data platform, big data sets, data analytics algorithms and hands-on lab exercises in a multi-dimensional and customizable way. In this paper, we provide a detailed description of the design goal of STEM-BD, its prototype, preliminary evaluation results, and future development.

引用

页数：5