5つ星のうち5.0The blueprint for a more modern curriculum!
This book should be required reading for educators, IT leadership in education, and policy-makers around the world. The book is written clearly and succinctly, in a way that breaks down the what and the how of AI in education, and provides resources for how to make classrooms and teaching more relevant, more interesting for students (and teachers), and the role AI plays in both teaching and learning. Those who put this book into practice in their school, jurisdiction, and beyond will reap the benefits for students and teachers alike.
<i>Artificial Intelligence in Education</i> is the first major book on the topic. It's vital for anyone interested in technology and education.
The book's first half is a deep dive into how curricula can change under the impact of AI. Partly this explores which classes and practices students need in order to grapple with a post-AI world, but the discussion also revisits fundamental curricular questions, such as how learners apply content from one class to another, and which overarching frameworks can animate an entire course of learning.
The second half switches gears to explore direct applications of AI to learning. Holmes, Bialik, and Fadel develop a very useful taxonomy, breaking things down into intelligent tutoring systems, dialog-based tutoring systems, exploratory learning systems, and automatic writing evaluation software, along with an "other" category, each supplied with real-world examples. They add to this a cogent reflection on AI in education's implications.
Two appendices add more detailed background on curriculum and AI, respectively.
Taken together, this should help just about anyone in education and technology thinking about automation's impact.