Human-Centered Artificial Intelligence in Education 2

Human-Centered Artificial Intelligence in Education 2 provides a comprehensive and forward-thinking examination of how artificial intelligence (AI) is reshaping the current education systems of the world. With institutions increasingly employing AI-driven tools and techniques, this book provides cutting-edge research and practical knowledge on the ways in which intelligent technologies are affecting learning outcomes, efficiency and the process of decision-making.

The book explores analytics, applications and ethics. It begins with the examination of advanced models of AI and predictive analytics frameworks that can be used to forecast student performance and enhance academic planning. With the integration of deep learning techniques, metaheuristic optimization and hybrid models, this book explores the potential of data-driven education. It also covers real-world applications and examples of AI in various educational and socio-economic settings, explores how AI is going beyond the classrooms and contributing to solving global issues, and discusses the concept of Industry 5.0 and how it promotes human and AI collaboration in building the future of education. Finally, this book deals with the ethics and future directions of AI in education. It discusses critical issues such as inclusiveness and transparency in AI and its applications, while also providing strategic directions for sustainable technology integration in learning settings.

This book brings together contributions from an international team of experts and provides a multidisciplinary view that combines theory, innovation and practice in AI in education. It is a valuable resource for anyone who wants to understand and utilize the transformative role of AI in education, while also making it more inclusive and sustainable.