Generative AI-Enhanced Science Education From Early Childhood to Higher Education

Generative artificial intelligence (AI) is reshaping science education by transforming how learners engage with complex concepts from early childhood through higher education. By creating personalized instruction and adaptive feedback, generative AI tools can make scientific learning more engaging and responsive to individual needs. From sparking curiosity in young learners through creative exploration to supporting advanced research and problem-solving at the university level, generative AI science education has the potential to bridge learning gaps. As educational systems evolve alongside technological innovation, integrating generative AI thoughtfully offers new opportunities to strengthen scientific literacy. Generative AI-Enhanced Science Education From Early Childhood to Higher Education explores the use of generative AI in science education and its new methods. It examines the potential of generative AI to transform science teaching and learning by proposing innovative pedagogical models. Covering topics such as science education, generative AI, and educational technologies, this book is an excellent resource for educational institutions, educators, academicians, researchers, technology developers, and graduate students.

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.

Dimitrios Sotiropoulos is a physicist whose academic background includes a master's degree in science education and a PhD in Digital Educational Technology in Science Education from the Pedagogical Department of the National and Kapodistrian University of Athens. He is currently employed as a member of teaching and laboratory staff at the Department of Special Education at the University of Thessaly, in the field of "Science Education and ICT Applications in Education". He has also served as an academic associate at the European University Cyprus, specialising in "Technologies in STEAM Education" and as an adjunct lecturer at the Department of Informatics and Telecommunications at the University of Thessaly. Dimitrios' academic interests lie in the disciplines of science and the use of emerging technologies in education. His research is focused on exploring the beneficial integration of digital technology in the educational process, with a particular emphasis on the application of generative artificial intelligence (GenAI) in science education.