Why We Need Open Data in Computer Science Education Research

Natalie Kiesler, D. Schiffner
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引用次数: 3

Abstract

Innovation and technology in computer science education is driven by research and practice. Both of these activities involve the gathering and analysis of data in order to develop new tools, methods including software, or strategies to solve recent challenges in the field. However, data as basis for any new solution is hardly shared, reused and recognized. This is due to the fact that the publication of research data encompasses a number of challenges for researchers, while benefits of publishing data remain low. As a result, further analyses of data as part of secondary research are uncommon in the computer science education community. Therefore, the authors of this position paper critically reflect on current practices related to the publication of research data in this community. Moreover, a path forward is outlined for future conferences, such as ITiCSE, to become increasingly FAIR, and open with regard to research data.
计算机科学教育研究为什么需要开放数据
计算机科学教育的创新和技术是由研究和实践驱动的。这两种活动都涉及数据的收集和分析,以开发新的工具、方法(包括软件)或策略来解决该领域最近的挑战。然而,作为任何新解决方案基础的数据很难被共享、重用和识别。这是因为研究数据的发表给研究人员带来了许多挑战,而发表数据的好处仍然很低。因此,在计算机科学教育界,进一步分析数据作为二级研究的一部分是不常见的。因此,本立场文件的作者批判性地反思了与该社区研究数据出版相关的当前实践。此外,还概述了未来会议(如ITiCSE)的前进道路,使其在研究数据方面变得越来越公平和开放。
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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