Evaluating AI-Generated Content

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

How can students, educators, and librarians trust AI-generated content in an age of misinformation?

Evaluating AI-Generated Content (A Practical Guide for Students, Librarians, and Educators) is a timely resource designed to help readers navigate the promises and pitfalls of artificial intelligence in learning. Drawing on clear frameworks, real-world examples, and hands-on tools, this book provides a step-by-step approach to evaluating accuracy, detecting bias, and using AI responsibly in academic and professional settings.

Inside you'll find:

A practical evaluation checklist for judging AI-returned text Guidance on avoiding plagiarism and promoting academic integrity Strategies for fact-checking and verifying sources A glossary of key AI and education terms Appendices with templates, resources, and quick reference guides

Whether you are a student learning to write responsibly, a teacher guiding classroom use of AI, or a librarian developing digital literacy programs, this book equips you with the critical skills needed to use AI ethically and effectively.