<p><strong>How can students educators and librarians trust AI-generated content in an age of misinformation?</strong></p><p><em>Evaluating AI-Generated Content (A Practical Guide for Students Librarians and Educators)</em> 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.</p><p>Inside you'll find:</p><ul><li>A <strong>practical evaluation checklist</strong> for judging AI-returned text</li><li>Guidance on <strong>avoiding plagiarism and promoting academic integrity</strong></li><li>Strategies for <strong>fact-checking and verifying sources</strong></li><li>A <strong>glossary of key AI and education terms</strong></li><li>Appendices with templates resources and quick reference guides</li></ul><p>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.</p>
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