Introduction
As higher education continues to evolve in response to shifting student expectations, technological innovation, and global disruptions, the HyFlex learning model which offers flexible, multimodal access to learning has emerged as a transformative approach. Yet, for HyFlex learning to truly fulfill its potential, it must move beyond flexibility and convenience to become a deeply personalized, inclusive, and engaging experience.
This book explores how artificial intelligence (AI) is reshaping HyFlex education by enabling scalable, data-informed, and context-sensitive pedagogical innovation. It will be structured around the four foundational principles of HyFlex pedagogy, i.e. learner choice, equivalency, reusability, and accessibility, and will examine how AI technologies can meaningfully support each principle.
A special focus will be placed on emerging AI tools such as AI-powered avatar videos, which enable multilingual, accessible, and culturally responsive content delivery, and AI learning companions or “AI buddies” that provide personalized, data-informed support to students based on their learning styles, pace, and needs. These technologies empower students who might otherwise struggle in traditional settings—such as those with disabilities, language barriers, or differing time zones—while also enabling scalable, adaptive instruction.
Featuring a blend of theoretical frameworks, empirical research, case studies, and practical applications, this book will demonstrate how AI can be used not just for “doing things better” (automation and efficiency), but for “doing better things” (reimagining learning, assessment, and engagement). Topics will include AI-powered feedback systems, learning analytics, content curation, AI learning companions, adaptive assessments, and ethical design.