ABSTRACT

We present a micro-analysis of youth interactions with large complex, socioeconomic datasets and data visualization tools. Middle and high school youth used georeferenced data and data visualization tools to assemble models that present their family migration histories in relation to larger socioeconomic trends in a summer program. Using screen-capture and video recordings, field notes, and artifacts, we analyzed youth’s step-by-step decision-making and interaction with data interfaces in data wrangling, which we define as the practices for selecting, interpreting, and integrating datasets in order to build meaningful data displays and tell a story with the data. We identify patterns in youth’s data wrangling trajectories and propose a conceptual model for describing the stages (Find, Relate, Challenge, Build) of youth learning to construct models and tell stories about family migration. In addition, we highlight student struggles and opportunities for learning to be explored in future learning environment designs with large, complex datasets and data interfaces.

摘要

我们提出了与大型复杂的，社会经济数据集和数据可视化工具进行的青年互动的微观分析。初中和高中青年使用地理参考数据和数据可视化工具来组装模型，以在夏季计划中展示与更大的社会经济趋势相关的家庭迁徙历史。使用屏幕捕获和视频记录，现场记录和人工制品，我们分析了年轻人在数据整理中的逐步决策和与数据接口的交互作用，我们将其定义为按顺序选择，解释和集成数据集的实践建立有意义的数据显示并用数据讲故事。我们确定青年数据争吵轨迹中的模式并提出一个概念模型来描述青年学习的各个阶段（发现，关连，挑战，建立），以构建模型并讲述有关家庭移民的故事。此外，我们重点介绍了在大型，复杂的数据集和数据接口的未来学习环境设计中要探索的学生奋斗和学习机会。