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Full Description
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.
Contents
Introduction.- Foundations of artificial intelligence in science education.- AI as a teaching tool empowering pre service science teachers through conceptual foundations and classroom integration.- AI integration in science learning mapping k 12 pre service teachers competencies pedagogical practices and simulation based learning approaches.- Design thinking in science education preparing pre service teachers for human centered innovation in the age of artificial intelligence.- Designing inquiry based stem activities with generative ai an example for pre service teachers.- The role of artificial intelligence in empowering pre service science teachers in the development of inquiry based teaching competencies.- Pre service teachers experiences in instructional design with artificial intelligence tools.- Generative artificial intelligence and the development of higher order thinking sills in k 12 science education an integrative literature review.- Integrating generative ai into science teaching preparing pre service science teachers for the ai driven stem classroom.- The long term possibilities and challenges of artificial intelligence in k 12 science education.- AI integration in math science and information class.- AI and the future of science education empowering learners enhancing practice.



