Articles liés à Empowering Early Education With Computational Thinking,...

Empowering Early Education With Computational Thinking, Ai and Stem - Couverture souple

 
9798369362112: Empowering Early Education With Computational Thinking, Ai and Stem

Synopsis

Empowering early education with computational thinking, artificial intelligence (AI), and science, technology, engineering, and mathematics (STEM) is transforming the way students engage with the learning process. As the educational field develops, the integration of these fields in early childhood curricula enhances critical thinking and problem-solving skills while fostering creativity and collaboration among students. By introducing foundational concepts of computational thinking and AI at a young age, educators can cultivate a generation of innovators who are equipped to navigate complex challenges and contribute to society. Further research into effective integration may prepare children for future academic pursuits while instilling a personal interest in learning, ensuring students can thrive in a technological world. Empowering Early Education With Computational Thinking, AI, and STEM explores the integration of computational thinking, AI, and STEM into early education environments. It provides comprehensive guidance on effectively introducing computational thinking, coding skills, and STEM concepts to young learners, offering practical strategies and resources for educators. This book covers topics such as curriculum development, educational technologies, and gamification, and is a useful resource for educators, teachers, administrators, scientists, computer engineers, academicians, and researchers.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Michail Kalogiannakis is a Professor in the Department of Special Education at the University of Thessaly, Greece, and an Associate Tutor at the School of Humanities of the Hellenic Open University. Since 2021, he has been included in Stanford University’s “World’s Top 2% Scientists” list, which – developed by Stanford researchers in collaboration with Elsevier – uses Scopus data and strict criteria such as total citations, the h-index and reflects scientists’ real impact within their fields. He graduated from the Physics Department of the University of Crete and completed postgraduate studies at the University Paris 7–Denis Diderot (D.E.A. in Didactics of Physics) and the University Paris 5-René Descartes–Sorbonne (D.E.A. in Science Education), where he also received his Ph.D. in Science Education. His research interests include science education, STEM education, mobile learning for science education, distance learning, computational thinking, experiments and simulations for science education and the use of GenAI in science education. He has published over 150 articles in international conferences and journals and has served on the program committees of numerous international conferences.

Stamatios Papadakis is an Assistant Professor in Educational Technology at the Department of Preschool Education at the University of Crete, Greece. His scientific and research interests focus on integrating EdTech apps in preschool and primary education, novice programming environments, mobile learning, and the application of generative AI in education. His work aims to enhance early childhood learning experiences through innovative technologies. Dr. Papadakis has been a prolific researcher and editor, contributing to numerous books and journals in educational technology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.