Open access book, published 2023 by Springer on AI in Learning with Hannele Niemi, Roy, D, Pea, and Yu Lu as editors with authors mainly from China, Finland and the US of A.
The book takes an overarching viewpoint on the application of AI into educational contexts. The book sections indicate the types of ways, AI can be deployed to improve learning and support teaching. Most chapters are useful in informing the ways AI can be implemented across various sectors and levels of educations. As the studies were conducted across 3 countries, social and cultural perspectives are also considered as what is considered to be acceptable in one country (i.e. AI surveillance), may not be in another.
Sections include AI in expanding learning and well-being through life; AI in games and simulation; AI technologies for education and intelligent tutoring systems; and AI and challenges in new learning environments.
As such, the broader perspective, beyond just Gen AI, is described, explored, and evaluated. Of note is that chapters not only introduce the advantages of AI but also critique AI systems (including surveillance technologies) and argue for the importance of ensuring the voice of teachers and learners are included when AI technologies are implemented into education. worth a browse through the relevant chapters to learn more about the larger educational issues impacted on by AI and how application of digital technologies using AI can be of use to support learning and teaching.
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