Full Description
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.
Contents
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
