AI in learning: Designing for the future is an open access book published by Springer. The editors are and international group of scholars with H. Niemi (Finland), R. D. Pea (U. S. of A) and Y. Lu (China). The book was published at the beginning of 2022, thus the concepts, frameworks etc. proposed are 'pre-Chat-GPT'. However, the premises are sound, based on the large corpus of existing research around AI. However, it is important to read the chapters in the book, with the proviso that things have since moved on somewhat.
After the introductory chapter and a last chapter by the editors, the book has 18 chapters, organised into 4 parts. They are:
- AI expanding learning and well-being throughout the life
- AI games and simulations
- AI technologies for education and intelligent tutoring systems
- AI and ethical challenge in new learning environments.
There are several chapters of relevance to my present projects/work.
The first chapter on "AI innovations for multimodal learning, interfaces and analytics' by M. Worsley was the route into the rest of the book, having turned up in one of my searches for 'AI in vocational education'. The chapter brings up opportunities for using AI to support project-based, inquiry-driven and problem-solving approaches to learning. Examples are provided of technologies which can be used by learners across modalities to showcase their learning; tools (audio/video) offering insights into how group work is enacted; and guides as to how learning analytics from these multimodal platforms can usefully inform teaching and learning research.
The chapters in section 3 - education and intelligent tutoring systems - offers concrete ways to usefully deploy AI for personalised learning. The chapters include one on 'training hard skills' by T. Korhonen, T. Lindquist, J. Laine and K. Hakkarainen.
The chapters in section 4 - AI and ethics - are all useful as they inform on various perspectives with regards to AI ethics.AI augments learning but can also be used as a surveillance tool. The tensions between assistive learning and 'big brother' needs to be balanced with social and cultural norms shaping the way AI is deployed. Some social cultures may find AI surveillance to be a normal course of life but others will find surveillance to be invasive of personal privacy. Ethical considerations are therefore context dependent. What is taken as the norm in one country, is considered challenging in others.
The last chapter by the editors 'reflections on the contributions and future scenarios in AI-based learning' - summarises the themes introduced and discussed through the book.
As the book is open access, it is a good resource for anyone interested in how AI may enhance education but with the caveat that there are also many issues with regards to how AI is introduced and utilised. The potentialities for personalised learning, drawing from analytics and AI algorithm driven interventions are emergent technologies, with much promise. Ethical issues become crucial in ensuring AI is used as a tool for equitable access to education, and not as a surveillance instrument by the state.
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