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arXiv 1606.01427cs.CY
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使用协作可视化分析进行创新的行业启发学习活动

Using Collaborative Visual Analytics for Innovative Industry-inspired Learning Activities

Olivera Marjanovic

摘要:

受领先的行业实践的启发,本文描述了一种创新的学习活动,该活动结合了数据可视化和协作,围绕跨数据孤岛的部门/学科见解的共享,共同创建和协商,使用内部和外部数据。这项活动是在一个更大的项目中设计的,旨在将从业者的故事和使用可视化分析的经验转化为教育场景和创新的行业知识学习活动。除了让学生获得最先进的可视化(SAS-VA)和协作(Yammer)工具外,更重要的教育目标是让学生接触当前的行业实践,在处理复杂的多学科挑战时,个人数据驱动的学科见解不再被认为是足够的。本文从一个数据知情的业务场景开始,描述了我们创新的数据可视化和协作活动的主要步骤,讨论了可能的替代软件平台,并为未来的工作提供了一些想法。

英文摘要:

Inspired by the leading industry practices, this paper describes an innovative learning activity that combines data visualization and collaboration structured around sharing, co-creation and negotiation of departmental/disciplinary insights across data silos, using both internal and external data. This activity was designed within a much larger project aiming to translate practitioner stories and experiences in using visual analytics into educational scenarios and innovative industry-informed learning activities for students. In addition to giving students access to state-of-the-art tools for visualization (SAS-VA) and collaboration (Yammer), an even more important educational objective is to expose students to current industry practices with individual data-driven disciplinary insights no longer considered to sufficient when dealing with complex multi-disciplinary challenges. Starting from a data-informed business scenario, the paper describes the main steps of our innovative data visualisation and collaboration activity, discusses possible alternative software platforms and offers some ideas for the future work.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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