© 2019

Artificial Intelligence and Inclusive Education

Speculative Futures and Emerging Practices

  • Jeremy Knox
  • Yuchen Wang
  • Michael Gallagher


  • Clarifies the philosophical and theoretical basis for understanding A.I. in the context of education

  • Establishes key challenges for future A.I. development aimed towards inclusive teaching and learning

  • Provides concrete examples of A.I. research and development for inclusive education agendas


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


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’.


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

About the editors

Jeremy Knox is a Lecturer in Digital Education at the University of Edinburgh, UK, and Co-Director of the Centre for Research in Digital Education. His research interests include critical posthumanism, open education, and data-intensive technologies in teaching and learning. His published work includes critical perspectives on open educational resources, massive open online courses, and learning analytics.

Yuchen Wang is a Research Associate & Tutor at the Institute for Education, Community and Society at the University of Edinburgh, UK. Her research focuses on inclusive education development, and in particular, the implications of student voice for transforming practice.

Michael Gallagher is a Research Associate at the Centre for Research in Digital Education at the University of Edinburgh, UK, and Director and Co-Founder of a digital education and ICT4D consultancy. His research interests include teacher training, digital education, open learning, mobile learning, critical theory, cultural heritage, and ethical design.

Bibliographic information

  • Book Title Artificial Intelligence and Inclusive Education
  • Book Subtitle Speculative Futures and Emerging Practices
  • Editors Jeremy Knox
    Yuchen Wang
    Michael Gallagher
  • Series Title Perspectives on Rethinking and Reforming Education
  • Series Abbreviated Title Perspectives on Rethinking and Reforming Education
  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Education Education (R0)
  • Hardcover ISBN 978-981-13-8160-7
  • Softcover ISBN 978-981-13-8163-8
  • eBook ISBN 978-981-13-8161-4
  • Series ISSN 2366-1658
  • Series E-ISSN 2366-1666
  • Edition Number 1
  • Number of Pages XIII, 206
  • Number of Illustrations 5 b/w illustrations, 13 illustrations in colour
  • Topics Technology and Digital Education
    Computers and Education
    Educational Technology
    Learning & Instruction
  • Buy this book on publisher's site


“The book would be of great significance to researchers working in the fields of education, AI, and other branches of the social sciences.” (C K Raju, Computing Reviews, August 28, 2020)