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Artificial intelligence and inclusiv...

Knox, Jeremy.

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Artificial intelligence and inclusive education = speculative futures and emerging practices /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and inclusive education/ edited by Jeremy Knox, Yuchen Wang, Michael Gallagher.
Reminder of title:	speculative futures and emerging practices /
other author:	Knox, Jeremy.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xiii, 206 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Inclusive education. -
Online resource:	https://doi.org/10.1007/978-981-13-8161-4
ISBN:	9789811381614

Artificial intelligence and inclusive education = speculative futures and emerging practices /
Artificial intelligence and inclusive educationspeculative futures and emerging practices /[electronic resource] :edited by Jeremy Knox, Yuchen Wang, Michael Gallagher. - Singapore :Springer Singapore :2019. - xiii, 206 p. :ill., digital ;24 cm. - Perspectives on rethinking and reforming education,2366-1658. - Perspectives on rethinking and reforming education..

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'.

ISBN: 9789811381614

Standard No.: 10.1007/978-981-13-8161-4doiSubjects--Topical Terms:

534659
Inclusive education.

LC Class. No.: LC1200 / .A78 2019

Dewey Class. No.: 371.33

Artificial intelligence and inclusive education = speculative futures and emerging practices /
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520 $a 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'.
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