This volume examines how artificial intelligence, automation, blockchain, and data-informed governance are changing decision-making in higher education. Ten chapters move from academic credentials and learning records to educator roles in open and distance learning, university digital transformation strategies, faculty capability development, smart teaching governance, AI-supported teaching tools, disability inclusion, and digital-age policy. Contributions from multiple national and institutional contexts combine conceptual analysis, case comparison, technical architectures, and practical institutional recommendations. A central concern is how universities can use intelligent systems to improve efficiency, trust, access, and responsiveness while preserving professional judgment, transparency, privacy, and human responsibility. The volume treats faculty development and inclusion as essential parts of technological transformation rather than secondary implementation issues. Intended for researchers, university leaders, faculty developers, quality assurance professionals, policymakers, IT teams, and graduate students, it argues that decision intelligence becomes educationally valuable only when automation is governed ethically, interpreted critically, and aligned with institutional learning.

Order Print Copies | Amazon | Hardcover | eBook | Google Books 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.