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AI and Emerging Technologies in Transnational Higher Education

Deepak GuptaInstitute of Technology and Management, Gwalior, IndiaNekboyev Xurshid XoliyorovichKarshi State Technical University, UzbekistanIsmailov AzizbekFarrukhbek SotvoldievKokand State UniversityRafikova FotimaKimyo International University in Tashkent, Namangan, UzbekistanRaya KarlibaevaTermez University of Economics and Service, UzbekistanAlimnazar IslamkulovTashkent State University of Economics, Uzbekistan
2026
ABI

Abstract

Transnational higher education (TNHE) is undergoing a profound transformation driven by artificial intelligence (AI) and a suite of complementary emerging technologies. This chapter examines how generative AI, learning analytics, explainable AI (XAI), blockchain-based credentialing, and augmented and virtual reality (AR/VR) are reshaping teaching, learning, and institutional governance across TNHE contexts. Drawing on a synthesis of recent empirical and conceptual literature, the chapter analyses the opportunities these technologies afford—including personalised learning at scale, data-informed decision-making, and cross-border credential portability—alongside critical challenges encompassing academic integrity, data privacy, algorithmic bias, regulatory fragmentation, and digital equity. A layered policy framework is proposed to guide institutions in adopting these technologies responsibly and sustainably.

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