Learning data storytelling involves a complex web of skills. Professional and academic educational offerings typically focus on the computational literacies required, but professionals in the field employ many non-technical methods; sketching by hand on paper is a common practice. This paper introduces and classifies a corpus of 101 data sketches produced by participants as part of a guided learning activity in informal and formal settings. We manually code each sketch against 12 metrics related to visual encodings, representations, and story structure. We find evidence for preferential use of positional and shape-based encodings, frequent use of symbolic and textual representations, and a high prevalence of stories comparing subsets of data. These findings contribute to our understanding of how learners sketch with data. This case study can inform tool design for learners, and help create educational programs that introduce novices to sketching practices used by experts.
翻译:专业和学术教育课程通常侧重于所需的计算框架,但外地专业人员采用许多非技术方法;纸面手绘是常见的做法;本文介绍并分类了参与者作为非正式和正式环境中的有指导的学习活动的一部分而制作的101个数据草图。我们根据与视觉编码、表述和故事结构有关的12项标准对每份草图进行人工编码。我们发现有证据表明,人们优先使用定位编码和基于形状的编码,经常使用象征性和文字表述,以及大量比较数据子集的故事。这些研究结果有助于我们了解学习者如何与数据一起绘制草图。这一案例研究可以为学习者设计工具提供信息,帮助制定教育方案,介绍专家所用的草图做法。