AI-Powered Predictive Governance for Quality Assurance, Accreditation, and Academic Prestige in Higher Education
STAR SCHOLARS PRESS
Published
Publication date :
August 6, 2026
Synopsis
This chapter proposes AI-powered predictive governance as a decision-support approach for quality assurance, accreditation, and academic prestige in higher education. It argues that predictive analytics can help institutions monitor quality indicators, assess accreditation readiness, model ranking-related scenarios, and improve strategic foresight. At the same time, the chapter warns against metric fixation, algorithmic bias, and performative compliance. It emphasizes human-in-the-loop governance, ethical oversight, institutional mission, and academic judgment as essential safeguards.
Copyright
Copyright (c) 2026 STAR SCHOLARS PRESS