Artificial Intelligence in Higher Education Generative AI, Personalized Learning, Digital Transformation | 9.41 MB
Title: Artificial Intelligence in Higher Education
Author: Stamatios Papadakis;Georgios Lampropoulos;
Category: Nonfiction, Reference & Language, Education & Teaching, Preschool & Kindergarten, Computers, Advanced Computing, Artificial Intelligence
Language: English | 313 Pages | ISBN: 3119148296
Description:
This book explores artificial intelligence (AI) applications in early childhood and primary education, focusing on practical uses, pedagogical implications, and the future of AI-driven learning environments. It examines how AI can transform educational practices, including personalized learning, ethical considerations, and the development of AI literacy. Through various contributions, it showcases innovative AI integration in language development, teacher education, creative learning, and student assessment, offering educators comprehensive insights into utilizing AI tools to enhance learning experiences.
The chapters draw from real-world case studies and research projects, highlighting both the potential and challenges of AI in education. The book emphasizes the importance of preparing educators and students to engage with AI responsibly and effectively, addressing issues such as equity, ethics, and the evolving role of teachers in an AI-driven landscape. With diverse perspectives and practical examples, it serves as a guide for policymakers, educators, and researchers to navigate the growing impact of AI in shaping the future of education.
This book explores artificial intelligence (AI) applications in early childhood and primary education, focusing on practical uses, pedagogical implications, and the future of AI-driven learning environments. It examines how AI can transform educational practices, including personalized learning, ethical considerations, and the development of AI literacy. Through various contributions, it showcases innovative AI integration in language development, teacher education, creative learning, and student assessment, offering educators comprehensive insights into utilizing AI tools to enhance learning experiences.
The chapters draw from real-world case studies and research projects, highlighting both the potential and challenges of AI in education. The book emphasizes the importance of preparing educators and students to engage with AI responsibly and effectively, addressing issues such as equity, ethics, and the evolving role of teachers in an AI-driven landscape. With diverse perspectives and practical examples, it serves as a guide for policymakers, educators, and researchers to navigate the growing impact of AI in shaping the future of education.
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