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About this item
Highlights
- A speculative framework that imagines how we can use education data to promote play, creativity, and social justice over normativity and conformity.
- About the Author: Matthew Berland is Professor of Design, Informal, and Creative Education in the Department of Curriculum and Instruction and Affiliate Faculty in Information Studies, Computer Sciences, Educational Psychology, and Science/Technology Studies at University of Wisconsin-Madison.
- 212 Pages
- Education, Computers & Technology
Description
About the Book
"A critique of how data is used in educational settings, and a demonstration of how data can play a more just role in research and practice when approached through a broader spectrum of anonymity"--Book Synopsis
A speculative framework that imagines how we can use education data to promote play, creativity, and social justice over normativity and conformity. Educational analytics tend toward aggregation, asking what a "normative" learner does. In The Left Hand of Data, educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should not be about enforcing and entrenching norms but about using data science to break new ground and enable play and creativity. From this speculative vantage point, they ask how we can go about living alongside data in a better way, in a more just way, while also building on the existing technologies and our knowledge of the present. The Left Hand of Data explores the many ways in which we use data to shape the possible futures of young people--in schools, in informal learning environments, in colleges, in libraries, and with educational games. It considers the processes by which students are sorted, labeled, categorized, and intervened upon using the bevy of data extracted and collected from individuals and groups, anonymously or identifiably. When, how, and with what biases are these data collected and utilized? What decisions must educational researchers make around data in an era of high-stakes assessment, surveillance, and rising inequities tied to race, class, gender, and other intersectional factors? How are these complex considerations around data changing in the rapidly evolving world of machine learning, AI, and emerging fields of educational data science? The surprising answers the authors discover in their research make clear that we do not need to wait for a hazy tomorrow to do better today.About the Author
Matthew Berland is Professor of Design, Informal, and Creative Education in the Department of Curriculum and Instruction and Affiliate Faculty in Information Studies, Computer Sciences, Educational Psychology, and Science/Technology Studies at University of Wisconsin-Madison. Antero Garcia is Associate Professor in the Graduate School of Education at Stanford University. He has authored or edited more than a dozen books about the possibilities of literacies, play, and civics in transforming schooling in America.Dimensions (Overall): 8.9 Inches (H) x 6.0 Inches (W) x .6 Inches (D)
Weight: .55 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 212
Genre: Education
Sub-Genre: Computers & Technology
Publisher: MIT Press
Format: Paperback
Author: Matthew Berland & Antero Garcia
Language: English
Street Date: April 23, 2024
TCIN: 1003665735
UPC: 9780262547529
Item Number (DPCI): 247-33-8871
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.6 inches length x 6 inches width x 8.9 inches height
Estimated ship weight: 0.55 pounds
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