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This book explores artificial intelligence (AI) applications in early childhood and primary education, focusing on practical uses, pedagogical implications, and the future of AI-driven learning environments. It examines how AI can transform educational practices, including personalized learning, ethical considerations, and the development of AI literacy. Through various contributions, it showcases innovative AI integration in language development, teacher education, creative learning, and student assessment, offering educators comprehensive insights into utilizing AI tools to enhance learning experiences.
The chapters draw from real-world case studies and research projects, highlighting both the potential and challenges of AI in education. The book emphasizes the importance of preparing educators and students to engage with AI responsibly and effectively, addressing issues such as equity, ethics, and the evolving role of teachers in an AI-driven landscape. With diverse perspectives and practical examples, it serves as a guide for policymakers, educators, and researchers to navigate the growing impact of AI in shaping the future of education.
List of contents
Chapter 1: Exploring AI for Bilingual Language Development in Early Education: Current Applications and Future Directions.- Chapter 2: Transformative Potential of AI in Early Childhood and Primary Education: Innovations, Ethics, and Practical Applications.- Chapter 3: Co-Designing UDL-based AI Literacy: Integrating Educator Insights to Teach AI Perception in Elementary Classrooms.- Chapter 4: Robot-Assisted Pedagogical Methods: Developing Students' AI Competency for Creativity.- Chapter 5: From Concerns to Competence: Empowering K-12 Teachers for Generative AI Integration.- Chapter 6. Teaching with Artificial Intelligence: A Guide for Early Educators.- Chapter 7: Nurturing the Future: AI's Role in Shaping Early Education.- Chapter 8: Human-AI Collaboration in Education to foster Creativity, Innovation, and Learning for Next-Generation Inventors around Ethical AI.- Chapter 9: Transforming Primary Education: AI Technologies to Support Student Learning.- Chapter 10: Interrogating AI Curricula for Educators through an Equity, Ethics, and Justice Lens.- Chapter 11: Using ChatGPT to Differentiate Tasks: What Works and What Doesn't? A Guide for Early Educators.- Chapter 12: AI applications for generating immersive digital educational narratives.- Chapter 13: Generative AI in early childhood teacher education: In or out?.- Chapter 14: AI-Driven Assessment: Future Directions and Strategies for Educators.- Chapter 15: Empowering Early Educators: Integrating AI in Mathematics Education.- Chapter 16: The Big Ideas: Teacher’s AI competencies for the design and implementation of early childhood education programs.- Chapter 17: Artificial intelligence learning experience guide in primary education for a mathematics course.- Chapter 18: Enhancing Sustainability Education Through AI-Powered Experiential Learning.- Chapter 19: Enhancing inquiry skills in primary students with generative AI: Potential and Applications.- Chapter 20: ChatGPT in the Classroom: Media Perspectives on AI-Enhanced History Lessons in Primary Education.- Chapter 21: Supporting Personalized Learning in Primary Education: An Application of Two Generative AI Technologies.- Conclusion: Shaping the Future of AI in Early Childhood and Primary Education.
About the author
Stamatios Papadakis is an Assistant Professor of Educational Technology at the Department of Preschool Education at the University of Crete, Greece. His research interests center on integrating educational technology applications in early childhood and primary education, focusing on novice programming environments, mobile learning, and the use of generative AI in educational settings. Dr. Papadakis is dedicated to enhancing early childhood learning through innovative technologies. He has contributed to numerous books and academic journals as a prolific researcher and editor. His outstanding work has earned him recognition as one of the world's most distinguished scientists, having been ranked among the top 2% globally in 2020, 2021, 2022, and 2023.
Summary
This book explores artificial intelligence (AI) applications in early childhood and primary education, focusing on practical uses, pedagogical implications, and the future of AI-driven learning environments. It examines how AI can transform educational practices, including personalized learning, ethical considerations, and the development of AI literacy. Through various contributions, it showcases innovative AI integration in language development, teacher education, creative learning, and student assessment, offering educators comprehensive insights into utilizing AI tools to enhance learning experiences.
The chapters draw from real-world case studies and research projects, highlighting both the potential and challenges of AI in education. The book emphasizes the importance of preparing educators and students to engage with AI responsibly and effectively, addressing issues such as equity, ethics, and the evolving role of teachers in an AI-driven landscape. With diverse perspectives and practical examples, it serves as a guide for policymakers, educators, and researchers to navigate the growing impact of AI in shaping the future of education.
