AI in education: The intersection of pedagogy and technology

 This book published 2024 by Springer is edited by P. Ilic, I. Casbourne and R. Wegerif.

It is an open access book which brings together educators, engineers and experts to explore the implications and affordances provisioned through the arrival of Generative Artificial Intelligence (Gen AI).

There are 13 chapters, detailing studies in the higher education context.

The first introductory chapter, by the editors, calls for 'a constructive dialogue' between technology and pedagogy. In doing, the two may contribute more towards enhancing human potential. 

Following on, an interesting selection of chapters:

- AI enhanced ecological learning spaces by P. Ilic, and M. Sato-Ilic.

- reimagining learning experiences with the use of AI with D. Guralnick

- Gen AI integration in education: challenges and approaches by S. Watson and S. Shi.

- Navigating AI in education - towards a system approach for design of educational changes by L. Yuan, T. Hoel, and S. Powell.

-AI in the assessment ecosystem: A human-centered AI perspective by A. A. von Davier and J. Burnstein.

- The role of AI language assistants in dialogic education for collective intelligence by I. Casebourne and R. Wegerif.

- AI powered adaptive formative assessment: validity and reliability evaluation by Y. Bimpeh.

- Decimal point: a decade of learning science findings with a digital learning game with B. M. McLaren.

- Leveraging AI to advance science and computing education across Africa: challenges, progress and opportunities with G. Boateng

- Educating manufacturing operators by extending reality with AI by  P-D. Zuercher, M. Schimpf, S. Tadeja and T. Bohne.

- Pedagogical restructuring of business communication courses: AI-enhanced prompt engineering in an EFL teaching context by D. Roy.

- AI in language education: The impact of machine translation and ChatGPT by L. Ohashi.

Overall a good collection of case studies, providing some good examples of integrating AI into specific disciplines. The discussions are congruent to our current work, in that although Gen AI is a tool for all, there is still a need to match Gen tools to the learning outcomes to be achieved. Most importantly to maintain the human element and contribution towards AI responses and to remember that AI is a tool and it is the tool user who much always take responsibility for the outputs.