Overview

Artificial intelligence has the potential to revolutionize education by creating more adaptive, inclusive, and personalized learning environments. It can help address disparities in student engagement and outcomes by tailoring content, providing real-time feedback, and enabling targeted interventions. Beyond improving classroom experiences, AI integration equips learners with essential skills for a workforce increasingly shaped by technological innovation. By fostering continuous learning and adaptability, AI supports both individual growth and societal progress in a rapidly evolving world. Cases on AI Applications in Instructional Education Strategies explores how AI can be integrated into various educational methods to enhance the effectiveness and personalization of learning. By detailing the principles and techniques of AI through case studies, it bridges the gap between theory and practice. Covering topics such as administrative tasks, grading systems, and virtual reality, this book is an excellent resource for educators, educational administrators, education technology developers, policymakers, researchers, and more.

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Jaime Aguilar-Ortiz has a diverse background in mathematics and artificial intelligence, holding a Ph.D. in Mathematical Sciences from the Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional of México and multiple masters from Universidad Nacional Autónoma de México and Tecnológico de Monterrey of Mexico. His career includes significant contributions to educational software development, authoring numerous educational books and developing over 60 educational films. He has also been a part of various innovative projects receiving recognition and funding from multiple Mexican governmental bodies. Currently, he serves as the General Director at CICAINTE and TEDNOVA GROUP, and is a tenured research professor at Universidad Politécnica de Pachuca. His ongoing professional development includes participation in several international academic programs, most recently at Harvard University.

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