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AI is reshaping the future of education. Are your students ready?In an era where artificial intelligence (AI) is revolutionizing every facet of life, from how we shop to how we get our news, it's inevitable that AI is changing the way we teach and the way students learn. For students to thrive in this world, they need more than just the ability to use technology; they need to understand how it works, its potential, and its limitations.
They need AI literacy.Teaching AI Literacy Across the Curriculum delves into the symbiotic relationship between AI and education, providing cutting-edge research and practical strategies to seamlessly incorporate AI literacy into teaching across disciplines. Authors Irina Lyublinskaya and Xiaoxue Du introduce a pedagogical framework for teaching AI literacy that explores the Big Five Ideas in AI and integrates with practical strategies for teaching AI core concepts across different subjects.
Divided into three parts, focusing on theoretical foundations, practical examples, and assessment of AI literacy, this book
- Offers guidance on integrating AI literacy across various subjects, such as Science, Mathematics, English Language Arts, and Social Studies
- Provides real-world examples that provoke thoughtful discussions on the ethical considerations and biases inherent in AI
- Helps teachers to foster critical thinking to ensure that students are well-prepared for the AI-driven future
- Includes a companion website with access to a wealth of resources such as lesson plans and supplemental materials, templates, and graphic organizers to support AI education in the classroom
By weaving AI concepts into the educational tapestry, this book serves as a valuable resource for educators, offering practical strategies and insights to cultivate a generation of learners who are not only technologically adept but also critically engaged with the ethical and societal implications of AI.
Table des matières
Preface
Acknowledgments
Chapter 1 Ethics and Global Perspectives on AI Literacy in Education
Chapter 2 Pedagogical Framework for AI Literacy
Chapter 3 Applying Our Pedagogical Framework for AI Literacy
Chapter 4 Preparing to Integrate AI Literacy into Existing Curriculum
Chapter 5 AI Literacy in Science Education
Chapter 6 AI Literacy in Mathematics Education
Chapter 7 AI Literacy in Language Arts Education
Chapter 8 AI Literacy in Social Studies Education
Chapter 9 AI Literacy Assessment Framework
Epilogue: How Will AI Transform K-12 Learning?
Glossary
References
Index
A propos de l'auteur
Dr. Irina Lyublinskaya is a professor of mathematics and education at the Teachers College, Columbia University in New York City. She received her Ph.D. in Theoretical and Mathematical Physics from Leningrad State University in 1991. She has over 30 years of teaching and research experience in STEM education. Among her research interests are topics of integrating technology into mathematics and science education, pre-service and in-service professional development of STEM teachers, curriculum development, and international STEM education. She is a recipient of various awards for teaching excellence, including Radioshack/Tandy Prize for Teaching Excellence in Mathematics, Science, and Computer Science, NSTA Distinguished Science Teaching Award and citation, Education's Unsung Heroes Award for innovation in the classroom, and NSTA Vernier Technology Award. In 2011, she was inducted to NYS Mathematics Educators Hall of Fame. In 2019 she was elected as a full member of the Russian Academy of Natural Sciences. She is also a recipient of several outstanding paper awards from AACE and SITE.
