FLC: Pedagogy for the Age of AI

AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it.Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning.

Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. AI and the Future of Education is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can be used to enhance education, you can let go of anxiety and uncertainty, and learn to embrace artificial intelligence. It's true that, along with tremendous opportunities, AI presents some challenges for the field of education. Gain the knowledge and skills you need to use AI effectively in your classroom from this book. Understand what AI and machine learning are, and learn about new developments like ChatGPT Discover strategies for engaging students more fully using AI Automate administrative tasks. Use AI in innovative ways to promote higher-order thinking skills Examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias. AI and the Future of Education is a valuable resource that can change AI from an unknown entity to an indispensable tool.

This is one of a series of international conferences in this area and it is designed to report on state of the art research in the field of AI in Education. This field is interdisciplinary and brings together researchers from the domains of computer science, cognitive science, education, psychology, linguistics, and engineering (to name a few). Technologies can support both the individual and small groups of individuals who work collaboratively to solve problems and learn new materials. New methodologies for supporting and documenting the learning process in both these situations are being developed and are described in this volume.

As the interest in online learning continues to grow, many higher education institutions offer large classes online. Such courses may prompt managerial and pedagogical challenges for effective teaching and learning. Mobile technologies can facilitate formative assessment and personalized instruction while augmented reality applications can help engage students in authentic learning and the transfer of knowledge and skills to real-life situations (Fritschi & Wolf, 2012). In addition, recent technology tools can provide just-in-time access to resources and shared collaborative spaces for students or teachers to work together on projects. This book aims to provide practical assistance to those who teach large online classes by addressing the research questions with practical implications for teaching and learning.