@inproceedings{a05a3d7bfe7841bf944222ffd520e4bf,
title = "Disciplinary task models for designing classroom orchestration: The case of data visualization for historical inquiry",
abstract = "Incorporating data visualizations into college classrooms can enhance disciplinary learning, when accompanied by associated meaning-making practices. However, tools not specifically designed for CSCL may lack supports for collaboration and disciplinary reasoning. Therefore, it is necessary to design supports into classroom orchestration. In this paper we examine the design of such orchestration to scaffold historical reasoning with geospatial data visualizations. The orchestration of a sequence of small-group tasks scaffolded progressively more complex reasoning about historical waves of immigration, which the instructor leveraged to support students{\textquoteright} reasoning at multiple levels in whole-class discussion. Our analyses point to these kinds of orchestrated scaffolds as a valuable direction for CSCL research and design.",
author = "Josh Radinsky and Iris Tabak and Monika Moore",
note = "Publisher Copyright: {\textcopyright} ISLS.; 13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019 ; Conference date: 17-06-2019 Through 21-06-2019",
year = "2019",
month = jan,
day = "1",
language = "English",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "200--207",
editor = "Kristine Lund and Niccolai, {Gerald P.} and Elise Lavoue and Cindy Hmelo-Silver and Gahgene Gweon and Michael Baker",
booktitle = "A Wide Lens",
}