Foundations in Early Mathematics Education
9781779563897
pages
Arcler Education Inc
Overview
Early mathematics education lays the groundwork for cognitive development and problem-solving skills. This book explores effective strategies for teaching foundational math concepts to young learners. Topics include number sense, spatial reasoning, and integrating math into everyday activities. It emphasizes the importance of play-based and inquiry-driven approaches. Illustrating innovative teaching methods, the book provides insights into fostering mathematical confidence and curiosity in early learners. It is a vital resource for educators, curriculum developers, and researchers in early education.
Author Bio
Dr. Gordhan Jethava holds a Ph.D. and M.Tech. in Computer Engineering from S. V. National Institute of Technology (an Institute of National Importance under the Government of India), Surat, completed in 2022 and 2010, respectively. He earned his B.E. in Computer Engineering from Atmiya Institute of Technology and Science, Rajkot, in 2004. Dr. Jethava has been a Director (Partnerships with Institutes of National Importance) and an Associate Professor in the Information Technology Department at Parul University, Vadodara, Gujarat. He has more than 20 years of teaching, research and administrative experience. He successfully secured a Rs. 3,50,000/- grant from AICTE for ATAL-FDP and coordinated the program in December 2023. Dr. Jethava is a recognized Ph.D. guide at Parul University, supervising six Ph.D. scholars. He supervised 29 Master of Engineering dissertations. He has published 64 research papers extensively in Journals, book chapters and refereed conference proceedings. He has published one design patent, and one book. Dr. Jethava received the Research Excellence Award 2023 from InSc International Publishers. Additionally, he is a Red Hat Certified Engineer (RHCE) in Red Hat Enterprise Linux 5. His research interests focus on security and trust management in online social networks, cybersecurity, information and network security, cloud and fog computing, machine learning, and AI.