Preparing K-12 Pre-Service Science Teachers for the Age of Artificial Intelligence
Strategies, Innovations, and Classroom Practices
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Beschreibung
This edited volume provides a comprehensive guide to the effective and meaningful integration of AI technologies in science education. Designed for K-12 pre-service science teachers, it explores how AI-supported instructional practices can reshape science lessons, enhance pedagogical approaches, and redefine future learning environments. While AI in education is widely studied, few academic resources offer a holistic view of its theoretical foundations, classroom applications, and long-term implications—particularly in science education. Addressing this gap, this book serves as an essential reference for educators, researchers, policymakers, and content developers. It offers practical insights, evidence-based strategies, and future perspectives to equip pre-service science teachers with the knowledge and tools needed to harness AI in their classrooms, transforming teaching and learning in the digital age.
This edited volume provides a comprehensive guide to the effective and meaningful integration of AI technologies in science education. Designed for K-12 pre-service science teachers, it explores how AI-supported instructional practices can reshape science lessons, enhance pedagogical approaches, and redefine future learning environments. While AI in education is widely studied, few academic resources offer a holistic view of its theoretical foundations, classroom applications, and long-term implications—particularly in science education. Addressing this gap, this book serves as an essential reference for educators, researchers, policymakers, and content developers. It offers practical insights, evidence-based strategies, and future perspectives to equip pre-service science teachers with the knowledge and tools needed to harness AI in their classrooms, transforming teaching and learning in the digital age.
Equips pre-service science teachers with AI-driven teaching strategies Provides a holistic view of AI applications in science education Addresses ethical and pedagogical considerations in AI education
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Themen in »Preparing K-12 Pre-Service Science Teachers for the Age of Artificial Intelligence«
AI-powered science teaching strategies Artificial intelligence in STEM education Future-ready AI teaching methods AI-driven personalized science learning Practical AI tools for science teachers Science education with AI innovations AI-enhanced inquiry-based learning Effective AI integration in classrooms K-12 AI science education research AI-supported STEM curriculum design