Free book preview

AI in Education: Reimagining Learning for Every Student

This is a governed preview built from the book’s published description and learning points. It is not presented as a chapter when no chapter sample is available in the website source.

AI is used in education for personalised learning, assessment support, classroom tools, admin relief, and the question of what actually helps students learn. It looks at where AI is already earning its keep in Education, where the claims run ahead of the evidence, and what sensible adoption actually looks like.

What does this preview cover?

It maps the practical applications, the operational pinch points, the decision workflows, and the reliability questions that appear when AI moves from demo to deployment in Education.

What questions does the full book tackle?

• Where AI is already being used in education today — and where classroom goals beat shiny demos.
• The decision points that actually count: learning design, bias, and outcomes.
• 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.

Education is one of those areas where AI can help, but only if the claims survive contact with student outcomes, teacher workload, and equity. That is where this book keeps its attention.