Social Sciences

Handbook of Higher Education, Volume 6: AI, Automation & Decision Intelligence

Authors

By 
Mustafa Kayyali
Mustafa Kayyali
Orcid https://orcid.org/0000-0003-3300-262X
STAR SCHOLARS PRESS
DOI: https://doi.org/10.32674/kwbpw840
Publication date : August 9, 2026

Keywords:

Artificial Intelligence in Higher Education Automation Decision Intelligence Learning Analytics Blockchain Credentialing Digital Transformation Institutional Decision-Making;

Synopsis

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.

Chapters

Copyright

Copyright (c) 2026 STAR SCHOLARS PRESS