Teaching Students to Use AI Ethically & Responsibly

Salman Khan is the founder and CEO of the education nonprofit Khan Academy which has the mission of "providing free, world-class education for anyone, anywhere." It has 180 million registered users in over 50 languages. Salman is also the author of Brave New Words, a book about the future of AI in education and The One World Schoolhouse. Douglas Fisher is professor and chair of educational leadership at San Diego State University and a teacher leader at Health Sciences High and Middle College. Previously, Doug was an early intervention teacher and elementary school educator. He is a credentialed English teacher and administrator in California. In 2022, he was inducted into the Reading Hall of Fame by the Literacy Research Association. He has published numerous articles on reading and literacy, leadership, and curriculum design, as well as books such as The Teacher Clarity Playbook (2nd ed.), Your Introduction to PLC+, The Illustrated Guide to Teacher Credibility, Instructional Strategies to Move Learning Forward: 50+ Tools That Support Gradual Release of Responsibility, and Welcome to Teaching! Nancy Frey is a professor in educational leadership at San Diego State University and a teacher leader at Health Sciences High and Middle College. She is a credentialed special educator, reading specialist, and administrator in California. She is a member of the International Literacy Associations Literacy Research Panel. Her published titles include 50 Strategies for Activating Your PLC+, The Illustrated Guide to Visible Learning, Welcome to Teaching Multilingual Learners, Teaching Foundational Skills to Adolescent Readers, and RIGOR Unveiled: A Video-Enhanced Flipbook to Promote Teacher Expertise in Relationship Building, Instruction, Goals, Organization, and Relevance. James Marshall is a professor of educational leadership at San Diego State University, where he also leads the Doctorate in Educational Leadership program. A credentialed teacher, he began his career as an informal science educator at the San Diego Zoo. Jims passion centers on the design of learning programs that yield predictable results. He has written broadly on needs assessment, learning initiative design, implementation, and program evaluation. His published books include Right From the Start: The Essential Guide to Implementing School Initiatives, Fixing Education Initiatives in Crisis: 24 Go-To Strategies, and RIGOR Unveiled: A Video-Enhanced Flipbook to Promote Teacher Expertise in Relationship Building, Instruction, Goals, Organization, and Relevance. Meghan Hargrave is an experienced educator, with 20 years in the field. After being a teacher leader in the classroom, she moved into education coaching and consulting where she supports hundreds of K-12 schools and districts worldwide. Her work has always focused on important instructional shifts in education and practical ways the educators she supports can embrace these shifts effectively, which has included the integration of Artificial Intelligence tools in the classroom. She is ChatGPT, GoogleAI, and AI for Education certified in addition to working closely with thousands of educators on how to implement these tools in the classroom. She is the coauthor of The Artificial Intelligence Playbook (now in its second edition) and Teaching Students to Use AI Ethically and Responsibly, two books that help schools prepare students for an AI-powered future. Meghan is an international presenter, has taught preservice teachers at Columbia Universitys Teachers College, regularly contributes to popular educational publications, and is known for sharing innovative and effective classroom strategies via social media @letmeknowhowitgoes.

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