The Datafication of Education
eBook - ePub

The Datafication of Education

  1. 120 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Datafication of Education

Book details
Table of contents
Citations

About This Book

This book attends to the transformation of processes and practices in education, relating to its increasing digitisation and datafication. The introduction of new means to measure, capture, describe and represent social life in numbers has not only transformed the ways in which teaching and learning are organised, but also the ways in which future generations (will) construct reality with and through data.

Contributions consider data practices that span across different countries, educational fields and governance levels, ranging from early childhood education, to schools, universities, educational technology providers, to educational policy making and governance. The book demonstrates how digital data not only support decision making, but also fundamentally change the organisation of learning and teaching, and how these transformation processes can have partly ambivalent consequences, such as new possibilities for participation, but also the monitoring and emergence/manifestation of inequalities.

Focusing on how data can drive decision making in education and learning, this book will be of interest to those studying both educational technology and educational policy making. The chapters in this book were originally published in Learning, Media and Technology.

Chapter 4 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

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Yes, you can access The Datafication of Education by Juliane Jarke, Andreas Breiter in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2020
ISBN
9781000682960
Edition
1
Topic
Computer Science
Subtopic
Data Processing
Index
Computer Science

Table of contents

  1. Cover
  2. Halftitle
  3. Titlepage
  4. Copyright Page
  5. Table of Contents
  6. Citation Information
  7. Notes on Contributors
  8. Introduction
  9. 1 Datafied at four
  10. 2 Configuring the teacher as data user
  11. 3 The datafication of discipline
  12. 4 The social value of anonymity on campus
  13. 5 Reconsidering data in learning analytics
  14. 6 Objectivity as standardization in data-scientific education policy, technology and governance
  15. 7 Datafication, testing events and the outside of thought
  16. 8 Cruel optimism in edtech
  17. Index