The Left Hand of Data: Designing Education Data for Justice

Berland, Matthew, Garcia, Antero

  • 出版商: MIT
  • 出版日期: 2024-04-23
  • 售價: $1,580
  • 貴賓價: 9.5$1,501
  • 語言: 英文
  • 頁數: 212
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 026254752X
  • ISBN-13: 9780262547529
  • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

一個推測性框架,想像我們如何利用教育數據來促進遊戲、創造力和社會正義,而不是追求常態和一致性。

教育分析傾向於聚合,問的是一個「常態」學習者的行為。在《數據的左手》中,教育研究者Matthew Berland和Antero Garcia從不同的假設出發,即異常值是且必須被視為有價值的個體。Berland和Garcia認為,分析的目的不應該是強制和鞏固常態,而是利用數據科學開拓新領域,促進遊戲和創造力。從這個推測性的角度出發,他們問如何更好地與數據共存,以更公正的方式,同時建立在現有技術和我們對當下的知識之上。

《數據的左手》探討了我們如何使用數據來塑造年輕人的可能未來,包括在學校、非正式學習環境、大學、圖書館和教育遊戲中。它考慮了學生如何被分類、標籤、分類和干預,使用從個人和群體中匿名或可識別地提取和收集的大量數據。這些數據是在何時、如何以及帶有什麼偏見被收集和利用的?在高風險評估、監控和與種族、階級、性別和其他交叉因素相關的不平等問題日益嚴重的時代,教育研究人員必須做出什麼樣的數據決策?在機器學習、人工智能和新興的教育數據科學領域快速發展的世界中,這些關於數據的複雜考量正在如何改變?作者在他們的研究中發現的令人驚訝的答案清楚地表明,我們不需要等待模糊的未來,今天就可以做得更好。

作者簡介

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.

作者簡介(中文翻譯)

Matthew Berland是威斯康辛大學麥迪遜分校(University of Wisconsin-Madison)課程與教學系的設計、非正式和創意教育教授,並且是資訊研究、電腦科學、教育心理學和科學/技術研究的聯合教職員。

Antero Garcia是斯坦福大學研究生教育學院的副教授。他已經撰寫或編輯了十多本關於識字、遊戲和公民參與在改變美國學校教育的可能性的書籍。