Authors: Rohith Bommalla Naresh
Abstract: Accreditation in higher education faces challenges in adapt- ing to technological advancements and evolving learner expectations. This article explores how artificial intelligence (AI), blockchain, and micro-credentials can transform quality assurance into a dynamic, trans- parent, and inclusive system. Drawing on recent research, global case studies, and theoretical insights, we propose a forward-looking ac- creditation model leveraging AI for real-time evaluation, blockchain for secure credentialing, and micro-credentials for flexible learning path- ways. Despite their potential, these technologies raise ethical, equity, and adoption challenges. A novel framework is presented, emphasiz- ing continuous improvement, global interoperability, and accessibility. Research findings highlight the impact of these innovations, ensuring higher education aligns with a rapidly changing global landscape.
