First Steps in Dance Data Science: Educational Design
First Steps in Dance Data Science: Educational Design
复制标题
舞蹈数据科学的第一步：教育设计
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
W. Payne
中科院分区：
文献类型：
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作者：
Yoav Bergner;Shiri Mund;Ofer Chen;W. Payne
我们报告了一项设计研究工作的结果，旨在开发一种与文化相关的教育体验，让高中舞者参与统计和数据科学。我们与当地一所高中及其舞步团队成员合作，探索对从学生舞蹈中捕获的视觉和听觉数据进行定量分析。我们描述了用于评估姿势精度、节奏和音色的原型可视化和交互式应用程序。考虑到教育目标，我们将设计限制为仅使用可解释的功能和简单、易于访问的算法。
We report results of a design-research effort to develop a culturally-relevant educational experience that can engage high school dancers in statistics and data science. In partnership with a local high school and members of its step team, we explore quantitative analysis of both visual and acoustic data captured from student dance. We describe prototype visualizations and interactive applications for evaluating pose precision, tempo, and timbre. With educational goals in mind, we have constrained our design to using only interpretable features and simple, accessible algorithms.