Artificial intelligence has moved rapidly from the periphery of higher education into its operational and academic core. Universities now encounter AI not only as a technological development, but as a governance challenge that affects teaching, assessment, research, administration, student support, and institutional legitimacy. In 2026, the central question is no longer whether universities should engage with AI, but how they should govern it responsibly. Recent international

Introduction Quality assurance in international higher education has moved from being a largely administrative exercise to becoming a strategic, multidimensional, and globally significant function. In earlier phases of higher education development, quality assurance was often understood in narrow terms: compliance with local regulations, periodic program review, and the maintenance of minimum academic standards. Today, however, the landscape is profoundly different. Internati

Introduction The question of what makes a higher education institution globally credible has become increasingly significant in an era defined by international student mobility, digital learning environments, transnational partnerships, and intensifying public scrutiny. Credibility in higher education is no longer established solely through age, size, or local prestige. Instead, it is shaped by a more complex set of academic, organizational, ethical, and social factors that i