AI in Education: Reimagining Learning for Every Student
Artificial intelligence personalizes education with adaptive learning, automated grading, and virtual tutors, making education accessible and tailored for all. See latest price on Amazon.
Quick facts
Topic: Education
Tags: Education, Artificial Intelligence, AI Trends
Length: 323 pages
Best for: Readers who want practical, plain-English AI insights with real-world examples.
Because AI in education affects learning outcomes, access, workload, and fairness. Getting the basics right matters long before anyone wheels in the hype machine.
What you’ll learn
Where AI is already being used in education today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind practical education use cases, explained in plain English.
Key themes including adaptive learning, assessment, admin automation, access.
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Who this book is for
Teachers, school leaders, and education policymakers who want an honest assessment of AI's impact on learning and accessibility.
What this book covers
Artificial intelligence personalizes education with adaptive learning, automated grading, and virtual tutors, making education accessible.
What makes this book distinct
The most provocative question this book asks is whether AI tutoring systems already outperform average classroom instruction for certain learners. The evidence is more uncomfortable than most education commentators admit — and the book doesn't shy away from the implications.
Not your book? This isn't a guide to EdTech tools or classroom apps. It's a structural analysis of how AI changes the learning relationship — best for educators, policy thinkers, and parents trying to understand what's actually happening.
Jonathan HarrisArtificial Intelligence Author & Host of Turing's Torch AI Weekly
Longer-form context from the retired overview page, now folded into the canonical book route.
Problem framing: where this topic gets messy
Education is full of promises about personalisation and efficiency, but the real issues are learning quality, fairness, teacher workload, and what students actually absorb. Artificial intelligence personalizes education with adaptive learning, automated grading, and virtual tutors, making education accessible. Pages: 323. Because AI in education affects learning outcomes, access, workload, and fairness. Getting the basics right matters long before anyone wheels in the hype machine.
Practical outcomes
In practical terms, the aim is simple: you should be better placed to judge which AI uses support learning and which merely decorate an old problem with new software. That means clearer judgement, fewer lazy assumptions, and a much better sense of where to press further or walk away.
Identify where ai is already being used in education today — and where the claims are running ahead of reality.
Work through the workflows, systems, and trade-offs behind practical education use cases, explained in plain english.
Work through key themes including adaptive learning, assessment, admin automation, access.
Work through the limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Chapter-level signals
Not a chapter list carved in stone, but the sort of material readers can reasonably expect to work through.
Where AI is already being used
Where AI is already being used in education today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind
The workflows, systems, and trade-offs behind practical education use cases, explained in plain English.
Key themes including adaptive learning, assessment,
Key themes including adaptive learning, assessment, admin automation, access.
The limits, risks, and awkward questions
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
What makes this title distinct
The most provocative question this book asks is whether AI tutoring systems already outperform average classroom instruction for certain learners. The evidence is more uncomfortable than most education commentators admit — and the book doesn't shy away from the implications. Not your book? This isn't a guide to EdTech tools or classroom apps. It's a structural analysis of how AI changes the learning relationship — best for educators, policy thinkers, and parents trying to understand what's actually happening.
