Full Description
This book approaches the use of Generative AI in primary and secondary education from both educator and student perspectives, showing how classroom strategies, professional development, and equitable design can create more personalized and empowering learning experiences.
Its novelty lies in moving beyond higher-education debates to provide concrete pathways for primary and secondary teachers, combining evidence-based practice with cross-disciplinary case studies.
The scope covers STEM, literacy, social studies and teacher training spanning conceptual, empirical and design-based peer-reviewed studies from around the globe, all rigorously peer-reviewed.
Aimed at educators, school leaders, researchers, and policymakers, the book serves as both a hands-on guide and a reference for curriculum design, staff training, pilot projects, and systemic innovation.
Contents
1. Comparison of Generative Ai Platforms: An Application Using the Task-technology Fit Model.- 2. AI-Generated Visualizations in Physics Education: A Framework for Enhancing Teaching Methodologies.- 3. Leveraging Generative AI to Transform STEM Education in Saudi Arabia: Enhancing Personalized Learning in Physics.- 4. The Use of Storytelling in Didactics of Mathematics in First Grade with the Help of Artificial Intelligence.- 5. AMPT: A Tool for Personalizing Math Learning with Generative AI.
