This volume examines the intersection of digital learning, learning analytics, and student success systems in contemporary higher education. Nine chapters written by scholars and practitioners from multiple geographic contexts analyze how artificial intelligence, institutional automation, faculty role transformation, and inclusive access technologies reshape higher education practice and outcomes. The volume combines theoretical frameworks with case evidence from national systems, disciplinary fields, and individual institutions. Core themes include the tension between digitalization and equity, the evolution of immersive and hybrid learning models, the role of data-informed decision-making in institutional performance, and the imperative to design digital transformations that serve all students, not only the advantaged. Intended for researchers, institutional leaders, faculty, graduate students, and policymakers, the volume argues that higher education can become simultaneously more efficient and more humane through thoughtful implementation and critical attention to context.   eBooks and print editions coming out in late October