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Teaching Students to Use AI Ethically & Responsibly
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Teaching Students to Use AI Ethically & Responsibly
Exploring AI With Intentionality, Curiosity, and Care


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Mentoring

September 2025 | 176 pages | Corwin

Empower Students to Think Critically and Ethically in an AI World

Artificial intelligence is no longer a distant concept in education. It's a present-day force reshaping how students learn, and teachers teach. But in the rapidly evolving world of AI, educators need more than just quick fixes or flashy tools. With the guidance of expert educators Salman Khan, Douglas Fisher, Nancy Frey, James Marshall, and Meghan Hargrave, Teaching Students to Use AI Ethically & Responsibly will prepare you not only how to teach with AI-but how to teach for a world transformed by it.

Grounded in the latest research and enriched by years of classroom experience, this book takes you from understanding what AI is and how it operates, to helping students become confident, ethical thinkers in an AI-powered world. Organized into three sections, it covers how to teach AI's foundational concepts, how to develop student inquiry and critical thinking, and how to teach student AI usage through authentic, curiosity-driven learning quests. It includes:

  • Clear definitions, classroom examples, and teacher/student practices for each of the 30 core topics across AI theory, skills, and application
  • Step-by-step guides for nine unique AI-powered learning quests, each designed to drive curiosity, collaboration, and deep understanding
  • Practical strategies for addressing ethical considerations, bias, privacy, and responsible use of AI in learning environments
  • Skill progressions for different grade bands, including skills to master, prompt-crafting tips, and online examples to help both educators and students integrate and evaluate AI tools with confidence

Whether you're new to AI or already exploring its integration, this comprehensive resource sheds light on hidden aspects of AI, equips you to foster essential student skills, and provides actionable strategies for hands-on collaboration with AI in your daily teaching practice.

About the Authors

 
 
SECTION 1. TEACHING ABOUT AI: “UNDER THE HOOD” CONCEPTS TO SUPPORT GOOD, ETHICAL, EFFECTIVE USE OF AI FOR LEARNING
Overview

 
GENERATIVE MODELS

 
PERSONALIZED MASTERY-BASED LEARNING

 
HUMAN-IN-THE-LOOP EXPERIENCES

 
COLLECTIVE INTELLIGENCE

 
ADAPTIVE PLATFORMS

 
AI, DATA, AND YOU

 
AI LIMITATIONS

 
AI AND SOCIETY

 
 
SECTION 2. TEACHING FOR AI: DEVELOPING HUMAN INTELLIGENCE SKILLS IN STUDENTS
Overview

 
INFORMATION LITERACY

 
DATA LITERACY

 
QUESTIONING

 
PROMPT ENGINEERING

 
DIALOGUE

 
VERIFICATION

 
CRITICAL INTERPRETATION

 
CURIOSITY

 
METACOGNITION

 
COGNITIVE FLEXIBILITY

 
ETHICAL REASONING

 
SELF-REGULATION

 
TEACHER DECISION-MAKING: WHEN STUDENTS CAN USE AI (AND WHEN THEY CANNOT)

 
 
SECTION 3. TEACHING WITH AI: LEARNING QUESTS THAT IGNITE CURIOSITY AND DEEPEN UNDERSTANDING
Overview

 
ANCHOR QUEST

 
CLARITY QUEST

 
COMPARE QUEST

 
CRITIQUE QUEST

 
GROWTH QUEST

 
LEVEL-UP QUEST

 
MISSION QUEST

 
PERSPECTIVE QUEST

 
REVERSE QUEST

 
RIGHT-SIZING QUEST

 
 
Conclusion
 
References
 
Index

For instructors

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ISBN: 9798348832223
£31.99