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Teaching AI Literacy

Strategies for Critical and Ethical Engagement

Teaching AI Literacy cover

Teaching AI Literacy

Strategies for Critical and Ethical Engagement

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Pre-order. Available 21 Jan 2027
£26.63 RRP £33.29 Website price saving £6.66 (20%)

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Description

This practical and justice-driven guide helps librarians and other educators teach AI literacy with critical awareness, ethical grounding, and pedagogical purpose.

As generative AI tools like ChatGPT and DALL·E reshape how students write, search, and think, this book equips educators with the critical frameworks and practical strategies needed to teach AI literacy ethically, thoughtfully, and with social purpose.

Grounded in critical pedagogy, information literacy, and digital equity, Teaching AI Literacy demystifies artificial intelligence for librarians and other educators by explaining key concepts such as generative AI, predictive algorithms, and algorithmic bias in plain, accessible language with clear examples for classroom use. It equips librarians and other educators with practical tools to teach AI literacy, including adaptable lesson ideas, conversation starters, assessment strategies, and frameworks aligned with the ACRL Framework for Information Literacy for Higher Education. With a focus on access, inclusion, and justice, it empowers educators to design AI-integrated lessons that help students interrogate algorithms rather than simply use them.

This book is for anyone who teaches, supports, or engages with learners in a digitally mediated environment: academic librarians, course instructors, education technologists, and institutional leaders alike. It is especially relevant for those seeking to respond to AI with intentionality rather than fear. This timely and essential book not only offers what to teach about AI, but how and why it matters now more than ever.

Accessibility Information

Additional accessibility information

  • EPUB 3.0
  • Conforms with the requirements of EPUB Accessibility Spec v1.1
  • WCAG level AA
  • WCAG v2.2 compliant
  • accessibility@bloomsbury.com

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The publication contains no hazards

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  • No accessibility features offered by the reading system, device or reading software are disabled or otherwise unusable with the product
  • Has alternative text descriptions for images

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Table of Contents

Introduction: Facing the Algorithm

Part I: Foundations for Critical and Ethical Engagement
1. Librarians as AI Literacy Leaders
2. What Students Think AI Is (and Isn't)
3. AI and the Information Ecosystem
4. Ethics, Power, and Bias in AI Systems
5. Thinking and Writing with Machines
6. AI Literacy for Career Readiness

Part II: Strategies for Teaching AI Literacy in Practice
7. Integrating Generative AI into the Classroom
8. Teaching Students to Analyze AI Output
9. From Boolean to Bots
10. Redesigning Assignments for the AI Age
11. Building Institutional Capacity for AI Literacy
12. Designing AI Literacy Workshops and Tutorials
13 . Teaching for Agency, Not Anxiety

Conclusion: A Call to Action
References
Index

Product details

Published 21 Jan 2027
Format Ebook (Epub & Mobi)
Edition 1st
Pages 176
ISBN 9798216438953
Imprint Bloomsbury Libraries Unlimited
Series Libraries Unlimited Series for Teaching Information Literacy Today
Publisher Bloomsbury Publishing

About the contributors

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