Empowering Early Education With Computational Thinking, AI, and STEM

Empowering Early Education With Computational Thinking, AI, and STEM

Pages: 300
DOI: 10.4018/979-8-3693-6210-5
ISBN13: 9798369362105|ISBN13 Softcover: 9798369362112|EISBN13: 9798369362129
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Description & Coverage
Description:

This publication explores the integration of computational thinking, artificial intelligence (AI), and STEM (science, technology, engineering, and mathematics) 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.

The publication will significantly impact the research community by providing insights into the effective implementation of computational thinking, AI, and STEM in early education settings. It contributes to ongoing discussions on innovative pedagogical approaches, offering evidence-based practices and theoretical frameworks for researchers to further explore and refine. Additionally, it encourages interdisciplinary collaboration between educators, psychologists, and technologists, fostering the development of holistic educational strategies.

This publication is intended for educators, researchers, curriculum developers, and policymakers involved in early education. It serves as a valuable resource for teachers seeking to enhance their pedagogical practices by integrating computational thinking, AI, and STEM concepts into their curriculum. Additionally, it is relevant for researchers interested in studying the impact of technology on early childhood development and educational outcomes. Policymakers can also benefit from the insights provided as they seek to promote innovation and prepare future generations for the challenges of the digital age.

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Editor/Author Biographies

Dr Stamatios Papadakis has been an assistant professor in educational technology with an emphasis on mobile learning at the Department of Preschool Education at the University of Crete, Greece. He has worked on several international and national pedagogy projects for pre-K to 16th grade education. His scientific and research interests include the study of mobile learning, especially on using smart mobile devices and their accompanying mobile applications (apps) in Preschool and Primary Education, focusing on developing Computational Thinking and students’ understanding of numbers. Furthermore, he currently investigates how a STEM learning approach influences learning achievement through a context-aware mobile learning environment in the preschool classroom and explains the effects on preschoolers' learning outcomes. He has published and book chapters in scientific peer-reviewed journals and international conferences (including Computers & Education, Education and Information Technologies, and Early Childhood Education Journal).

Michail Kalogiannakisis an Associate Professor in the Department of Special Education at the University of Thessaly and Associate Tutor at School of Humanities at the Hellenic Open University in Greece. He graduated from the Physics Department of the University of Crete and continued his postgraduate studies at the University Paris 7-Denis Diderot (D.E.A. in Didactic of Physics), University Paris 5-René Descartes-Sorbonne (D.E.A. in Science Education) and received his PhD degree at the University Paris 5-René Descartes-Sorbonne (PhD in Science Education). His research interests include science education in the early childhood, science teaching and learning, e-learning, the use of ICT in education, distant and adult education. He has published many articles in international conferences and journals and has served on the program committees of numerous international conferences.

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