Data Literacies and Social Justice: Exploring Critical Data Literacies through Sociocultural Perspectives-猫眼课题宝

DOI：

10.22318/icls2020.406

发表时间：

2020-06

期刊：

影响因子：

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其他

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作者：

Golnaz Arastoopour Irgens;Simon Knight;A. Wise;T. Philip;Maria C. Olivares;Sarah Van Wart;Sepehr Vakil;J. Marshall;Tapan S. Parikh;M. L. Lopez;Michelle Wilkerson;Kris D. Gutiérrez;Shiyan Jiang;J. Kahn

在大数据时代，解释、评估和做出基于数据的决策的能力至关重要。围绕数据使用的规范性脚本将它们定位为一种特权的认知形式，通过客观性授予权威，可以作为实现变化的杠杆。然而，人和材料塑造了数据的创建和使用方式，这可以重新界定整个社会中现有的权力关系(Van Wart，Lanouette&Parikh，2020)。因此，需要研究如何通过社会文化视角支持学习者进行批判性数据识字。作为一个与基于数据的推理、社会公正和设计密切相关的领域，学习科学处于有利地位，可以为这一努力做出贡献。本次研讨会聚集了学者们，就关键数据素养的学习空间设计提出了理论框架和实证研究。本文集支持围绕现有紧张关系、其他设计注意事项和新方法展开更大范围的讨论。

The ability to interpret, evaluate, and make data-based decisions is critical in the age of big data. Normative scripts around the use of data position them as a privileged epistemic form conferring authority through objectivity that can serve as a lever for effecting change. However, humans and materials shape how data are created and used which can reinscribe existing power relations in society at large (Van Wart, Lanouette & Parikh, 2020). Thus, research is needed on how learners can be supported to engage in critical data literacies through sociocultural perspectives. As a field intimately concerned with data-based reasoning, social justice, and design, the learning sciences is well-positioned to contribute to such an effort. This symposium brings together scholars to present theoretical frameworks and empirical studies on the design of learning spaces for critical data literacies. This collection supports a larger discussion around existing tensions, additional design considerations, and new methodologies.

Data Literacies and Social Justice: Exploring Critical Data Literacies through Sociocultural Perspectives

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