Abstract

Learning in data-rich environments has been a focus of learning sciences research since the inception of the field, with increasing interest in the ways learners narrate data. This article examines the narration of data from the perspective of learning on the move, identifying mobilities of data, and of the narratives in which they are mobilized. Two case studies of data narration are presented: seventh graders in a social studies classroom, describing African-American migrations to and from a familiar neighborhood, using a census data visualization tool; and a presentation by the director of special education for a school district to the Board of Education, using data to describe trends in the district. Four modes of data narration are examined across cases: (1) telling a story about oneself working with data; (2) animating a data representation; (3) incorporating data into extant narratives; and (4) narrating oneself into a data-represented world. The analysis examines the ways data, narratives, and people are set in motion in each of these modes, and the ways the resulting mobilities mediate learning with data.

摘要

自从该领域诞生以来，在数据丰富的环境中学习一直是学习科学研究的重点，并且对学习者对数据的叙述方式越来越感兴趣。本文从移动学习中的角度研究了数据的叙述，识别数据动向以及动员的叙述方式。提出了两个数据叙述的案例研究：一所社会研究教室的七年级学生，使用普查数据可视化工具描述了非裔美国人往返熟悉的社区的迁移；并使用数据描述学区的趋势，由学区的特殊教育主管向教育委员会作介绍。跨案例研究了四种数据叙述模式：（1）讲一个关于自己使用数据的故事；（2）对数据表示进行动画处理；（3）将数据纳入现存叙述中；（4）讲述自己进入以数据表示的世界。该分析考察了每种模式下数据，叙事和人物的运动方式，