Explore the intersection of human learning and AI in 'Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines'. This book offers vital insights for researchers and practitioners navigating the complexities of AI in educational settings. Discover theoretical frameworks and practical strategies for developing and implementing trustworthy and inclusive AI technologies. The book delves into the history of AI, provides models for best practices, and analyzes contemporary applications in classrooms and assessments. It features an interview with George Ritzer on McDonaldization and Artificial Intelligence. Key Features: * Focuses on trust and inclusion in AI-mediated education. * Provides theoretical frameworks and practical best practices. * Analyzes current AI applications in learning environments. * Suitable for researchers and practitioners. This comprehensive guide sheds light on the challenges and opportunities presented by AI in education, offering a path towards more effective and equitable learning experiences.