Making Sense of Sensemaking: Understanding How K-12 Teachers and Coaches React to Visual Analytics

被引:14
|
作者
Campos, Fabio C. [1 ]
Ahn, June [2 ]
DiGiacomo, Daniela K. [3 ]
Ha Nguyen [2 ]
Hays, Maria [4 ]
机构
[1] NYU, Steinhardt Sch Culture Educ & Human Dev, 82 Washington Sq East, New York, NY 10003 USA
[2] Univ Calif Irvine, Sch Educ, 3200 Educ, Irvine, CA USA
[3] Univ Kentucky, Sch Informat Sci, 320 Little Fine Arts Lib, Lexington, KY USA
[4] Univ Washington, Coll Educ, 2012 Skagit Lane, Seattle, WA 98195 USA
来源
JOURNAL OF LEARNING ANALYTICS | 2021年 / 8卷 / 03期
基金
美国国家科学基金会;
关键词
K– 12 learning analytics; sensemaking; learning dashboards; human-computer interaction; DRIVEN DECISION-MAKING; INFORMATION VISUALIZATION; SUPPORT; TIME; TOP;
D O I
10.18608/jla.2021.7113
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
With the spread of learning analytics (LA) dashboards in K-12 schools, educators are increasingly expected to make sense of data to inform instruction. However, numerous features of school settings, such as specialized vantage points of educators, may lead to different ways of looking at data. This observation motivates the need to carefully observe and account for the ways data sensemaking occurs, and how it may differ across K-12 professional roles. Our mixed-methods study reports on interviews and think-aloud sessions with middle-school mathematics teachers and instructional coaches from four districts in the United States. By exposing educators to an LA dashboard, we map their varied reactions to visual data and reveal prevalent sensemaking patterns. We find that emotional, analytical, and intentional responses inform educators' sensemaking and that different roles at the school afford unique vantage points toward data. Based on these findings, we offer a typology for representing sensemaking in a K-12 school context and reflect on how to expand visual LA process models.
引用
收藏
页码:60 / +
页数:22
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