This book examines the foundational concepts, ethical questions, and practical applications shaping AI’s expanding role in education. Bringing together conceptual frameworks, literature-based analyses, case-informed perspectives, and practice-oriented guidance, the volume addresses urgent questions of academic integrity, authorship, student agency, AI literacy, teacher preparation, institutional readiness, governance, and equitable access.
The book guides readers from the origins, terminology, and evolving capabilities of AI in education to its implications for teaching, learning, assessment, academic writing, and institutional decision-making. Across K–12 and higher education contexts, the chapters examine both the opportunities and risks associated with generative AI and related technologies. Rather than treating AI as either a solution to embrace uncritically or a threat to resist categorically, the volume advances a balanced approach grounded in ethical clarity, pedagogical purpose, critical literacy, human judgment, and responsible innovation.
By connecting foundational theory with actionable strategies, this book equips readers to evaluate AI-driven change, respond thoughtfully to ethical and practical dilemmas, and develop context-responsive approaches to implementation. It is intended for scholars and graduate students in AI, education, pedagogy, policy, and equity; K–12 educators, higher education faculty, instructional designers, teacher educators, academic developers, and technology leaders; and policymakers and institutional leaders responsible for shaping AI-related strategy, policy, and practice.