Citation :

Relebohile Margrett Molulela, "AI-Powered Supervision for International Postgraduate Students: Enhancing Inclusive Learning for NUL Academic Staff Studying Abroad," International Journal of P2P Network Trends and Technology (IJPTT), vol. 16, no. 3, pp. 1-9, 2026. Crossref, https://doi.org/10.14445/22492615/IJPTT-V16I3P401

Abstract

This study examines the role of AI tools in bridging barriers that are faced by NUL academic staff as international postgraduate students who are unable to be physically present at their respective universities for supervisory related matters. By investigating how AI allows remote supervision for NUL academic staff, this study highlights this practice as contributing to educational equity and inclusive learning, which aligns with the SDG-4. Employing an interpretivist paradigm, data was purposively selected from ten international Doctoral students, as well as from five supervisors of international NUL academic staff at their respective institutions. The study also draws on the theoretical underpinnings of critical pedagogy and transhumanism approach. The study finds that the use of AI tools and AI-supported technologies for supervisory purposes eases the financial burden on NUL academic staff as international postgraduate students, provides a sense of safety, as well as inclusivity, and it fosters accessibility to education, thus fulfilling its duty towards SDG-4 for 2030 Agenda. It is recommended that higher learning institutions hold training for both supervisors and students regarding the correct use of AI tools and AI-supported technologies in their supervisions, as well as to implement policies regarding the ethical use of such for supervisory purposes.

Keywords

Academic Staff, Artificial Intelligence, Inclusive Learning, International Postgraduate Students, Remote Supervision.

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