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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’.
Introduction: AI, Inclusion, and ‘Everyone Learning Everything
Part I Artificial Intelligence and Inclusion—Opening a Dialogue Towards Inclusive Education in the Age of Artificial Intelligence: Perspectives, Challenges, and Opportunities.
Accountability in Human and Artificial Intelligence Decision-Making as the Basis for Diversity and Educational Inclusion
Artificial Intelligence in Education Meets Inclusive Educational Technology—The Technical State-of-the-Art and Possible Directions
Part II Emerging Practices
Interactions with an Empathic Robot Tutor in Education: Students’ Perceptions Three Years Later
A Communication Model of Human–Robot Trust Development for Inclusive Education
An Evaluation of the Effectiveness of Using Pedagogical Agents for Teaching in Inclusive Ways
Inclusive Education for Students with Chronic Illness—Technological Challenges and Opportunities
Part III Critical Perspectives and Speculative Futures
Shaping Our Algorithms Before They Shape Us
Considering AI in Education: Erziehung but Never Bildung
Artificial Intelligence and the Mobilities of Inclusion: The Accumulated Advantages of 5G Networks and Surfacing Outliers
Artificial Intelligence, Human Evolution, and the Speed of Learning