Alison MacKenzie

Jeremy Knox

Petar Jandrić

This book explores genealogies and the challenges related to the concept of the postdigital, the ambiguous nature of postdigital knowledges, and the many faces of postdigital sensibilities. The book answers three key questions: What is postdigital knowledge? What does it mean to do postdigital research? What, if anything, is distinct from research conducted in other perspectives? As such, this book is a one-stop publication for those interested in the theory of postdigital research. Postdigital Research: Genealogies, Challenges, and Future Perspectives is complemented by Constructing Postdigital Research: Method and Emancipation, also edited by Petar Jandrić, Alison MacKenzie, and Jeremy Knox, which explores these questions in practice.

Genealogies, Challenges, and Future Perspectives

Postdigital Research

Michael Gallagher

Yuchen Wang

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’.

Speculative Futures and Emerging Practices

Artificial Intelligence and Inclusive Education

Rory Ewins

Sian Bayne

James Lamb

Peter Evans

"An expanded version of a document that was first released in 2011 and updated in 2016, the Manifesto presents a critical and research-informed position on teaching online in higher education"--

The Manifesto for Teaching Online

Jeremy Knox

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