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Artificial Intelligence and Inclusive Education

Speculative Futures and Emerging Practices

  • Jeremy Knox
  • Yuchen Wang
  • Michael Gallagher
Book

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Jeremy Knox, Yuchen Wang, Michael Gallagher
    Pages 1-13
  3. Artificial Intelligence and Inclusion—Opening a Dialogue

  4. Emerging Practices

  5. Critical Perspectives and Speculative Futures

About this book

Introduction

This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning.

To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.

Keywords

Artificial Intelligence and Inclusion A.I. and Inclusion A.I. and Inclusive Education Adaptive Software for Inclusion Personalised Software for Inclusion A.I. for Inclusive Teaching Robotics for Inclusive Teaching A.I. for Inclusive Classrooms Robotics for Inclusive Classrooms Future A.I. for Inclusion

Editors and affiliations

  • Jeremy Knox
    • 1
  • Yuchen Wang
    • 2
  • Michael Gallagher
    • 3
  1. 1.Advanced Innovation Center for Future EducationBeijing Normal UniversityBeijingChina
  2. 2.Advanced Innovation Center for Future EducationBeijing Normal UniversityBeijingChina
  3. 3.Advanced Innovation Center for Future EducationBeijing Normal UniversityBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-8161-4
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Education
  • Print ISBN 978-981-13-8160-7
  • Online ISBN 978-981-13-8161-4
  • Series Print ISSN 2366-1658
  • Series Online ISSN 2366-1666
  • Buy this book on publisher's site