Artificial intelligence and the sustainable internationalisation of education in the Global South
DOI:
https://doi.org/10.32674/n6wz5879Keywords:
Artificial Intelligence, Sustainable Internationalisation, Global South, Higher Education, Digital Divide, Developing Economies, SDG 4,Abstract
The increasing application of Artificial Intelligence (AI) and Generative AI (GenAI) technologies within higher education presents remarkable prospects, as well as challenges, for the internationalisation of educational opportunities in developing economies. Most AI-in-education research is Global North–focused, a Global South perspective is needed to address technology access and educational delivery challenges. This conceptual paper examines how AI adoption within higher education corresponds with the aims of achieving equitable internationalisation across developing economies, drawing on internationalisation theory, the diffusion of innovations framework, and the United Nations Educational, Scientific and Cultural Organisation’s sustainable development goals, particularly Goal 4 and Goal 10. The paper articulates an overarching AI and Sustainable Internationalisation Framework, conceptualising AI adoption as a co-existing dynamic between system-level (top-down, policy-driven) adoption and tool-level (bottom-up, practitioner-driven) experimentation. The paper synthesises recent empirical and conceptual literature on adoption, teacher readiness, digital equity, and institutional policy, interpreting findings in light of evidence from Global South. The discussion identifies pathways to sustainable outcomes of equitable access, capacity-building, and justice-oriented internationalisation, versus unsustainable outcomes that exacerbate the digital divide. The paper concludes a Global South Agenda for AI-enabled internationalisation, offering recommendations for policy, institutions, and research in developing countries.
References
Abulibdeh, A. (2025). A systematic and bibliometric review of artificial intelligence in sustainable education: Current trends and future research directions. Sustainable Futures. https://doi.org/10.1016/j.sftr.2025.101033
Akpan, I. J., Kobara, Y. M., Owolabi, J., Akpan, A. A., & Offodile, O. F. (2025). Conversational and generative artificial intelligence and human–chatbot interaction in education and research. International Transactions in Operational Research. https://doi.org/10.1111/itor.13522
An, Y., Yu, J. H., & James, S. (2025). Investigating the higher education institutions' guidelines and policies regarding the use of generative AI in teaching, learning, research, and administration. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-025-00507-3
Belkina, M., Daniel, S., Nikolic, S., Haque, R., Lyden, S., Neal, P., Grundy, S., & Hassan, G. M. (2025). Implementing generative AI (GenAI) in higher education: A systematic review of case studies. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2025.100407
Bewersdorff, A., Hornberger, M., Nerdel, C., & Schiff, D. S. (2025). AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students' AI self-efficacy. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2024.100340
Cheema, A. (2026). Software colonialism: Adobe as the new English in Global South art education. Race and Class. https://doi.org/10.1177/03063968261422606
Cukurova, M. (2025). The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13514
Dennison, D. V., Ahtisham, B., Chourasia, K., Arora, N., Singh, R., Kizilcec, R. F., Nambi, A., Ganu, T., & Vashistha, A. (2026). Shiksha Copilot: Teacher-AI collaboration for curating and customizing lesson plans in low-resource schools. Proceedings of the ACM on Human-Computer Interaction. https://doi.org/10.1145/3788074
Derakhshan, A. (2025). EFL students' perceptions about the role of generative artificial intelligence (GAI)-mediated instruction in their emotional engagement and goal orientation: A motivational climate theory (MCT) perspective in focus. Learning and Motivation. https://doi.org/10.1016/j.lmot.2025.102114
Duke, B. (2026). Artificial intelligence for inclusive and sustainable international education: A critical conceptual review. Journal of International Students. https://doi.org/10.32674/96t36095
Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies. https://doi.org/10.3390/soc15010006
Giannakos, M., Azevedo, R., Brusilovsky, P., Cukurova, M., Dimitriadis, Y., Hernandez-Leo, D., Järvelä, S., Mavrikis, M., & Rienties, B. (2025). The promise and challenges of generative AI in education. Behavior and Information Technology. https://doi.org/10.1080/0144929X.2024.2394886
Hara, M. (2026). AI for sustainable development in middle-income Southeast Asia: Higher education-business-government partnerships in transition. In AI-Powered Sustainability: Strategies for Modern Businesses. https://doi.org/10.4324/9781003715689-3
Henadirage, A., Chathuranga, B. T. K., & Gunarathne, N. (2026). Changing assessment landscape in management education with AI-driven technologies: Impacts and drivers. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00578-w
Jaboob, M., Hazaimeh, M., & Al-Ansi, A. M. (2025). Integration of generative AI techniques and applications in student behavior and cognitive achievement in Arab higher education. International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447318.2023.2300016
Jiang, S., Zhang, Y., & Shen, H. (2026). Reconstructing one-stop student communities for study-abroad preparation in Chinese higher education: A qualitative case study. Journal of International Students, 16(13), 241–252. https://doi.org/10.32674/5hckmr56
Jiewei, W., Kurniady, D. A., Komariah, A., Sururi, Nugraha, R. S., Ruhimat, M. D. C., & Shuhua, Z. (2026). How can higher education enhance social adaptation and minimize struggles among international students? Journal of International Students, 16(13), 145–170. https://doi.org/10.32674/pwmhxa88
Jin, Y., Yan, L., Echeverria, V., Gašević, D., & Martinez-Maldonado, R. (2025). Generative AI in higher education: A global perspective of institutional adoption policies and guidelines. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2024.100348
Jogezai, N. A., Koroleva, D., & Ivanov, I. (2026). Generative artificial intelligence in higher education: Challenges, opportunities and future course of actions to achieve sustainable development goals. International Journal of Educational Management. https://doi.org/10.1108/IJEM-12-2024-0786
Jose, B., Cherian, J., Verghis, A. M., Varghise, S. M., S, M., & Joseph, S. (2025). The cognitive paradox of AI in education: Between enhancement and erosion. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2025.1550621
Khoza, N. G. (2026). Entrepreneurship education, curriculum transformation, and artificial intelligence: A bibliometric analysis from the Global South. International Journal of Contemporary Educational Research. https://doi.org/10.52380/ijcer.2026.13.1.895
Klimova, B., & Pikhart, M. (2025). Exploring the effects of artificial intelligence on student and academic well-being in higher education: A mini-review. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2025.1498132
Knight, J. (2004). Internationalization remodeled: Definition, approaches, and rationales. Journal of Studies in International Education, 8(1), 5–31.
Lee, D., & Palmer, E. (2025). Prompt engineering in higher education: A systematic review to help inform curricula. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-025-00503-7
Mohebbi, A. (2025). Enabling learner independence and self-regulation in language education using AI tools: A systematic review. Cogent Education. https://doi.org/10.1080/2331186X.2024.2433814
Ng, D. T. K., Chan, E. K. C., & Lo, C. K. (2025). Opportunities, challenges and school strategies for integrating generative AI in education. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2025.100373
Olaifa, K. W., Elshikh, M., Balgaliyeva, A., Sagindykova, E., Inegbedion, E., & Nussipzhanova, G. (2026). Bridging the AI divide in high school STEM education in developing countries to advance equity and innovation. Discover Education. https://doi.org/10.1007/s44217-026-01437-6
Olaniyan, Y. D., Martins, M. O., & Al Maqrashi, R. H. (2026). Generative artificial intelligence and epistemic (in)justice: Perspectives from higher education students in the Global North and South. Frontiers in Human Dynamics. https://doi.org/10.3389/fhumd.2026.1790324
Qiu, Y., Cheng, C., García-Aracil, A., Isusi-Fagoaga, R., & Qiao, X. (2026). Analysis of how artificial intelligence empowers the COIL teaching model to promote educational internationalization and social entrepreneurship education. Sustainability. https://doi.org/10.3390/su18084072
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Suriano, R., Plebe, A., Acciai, A., & Fabio, R. A. (2025). Student interaction with ChatGPT can promote complex critical thinking skills. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2024.102011
Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2024.100355
Tan, X., Cheng, G., & Ling, M. H. (2025). Investigating the mediating role of TPACK on teachers' AI competency and their teaching performance in higher education. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2025.100461
Teperman, S., Siva, C., & Mujumdar, S. (2026). Conscientiousness as a protective factor in academic success in international university students. Journal of International Students, 16(13), 25–44. https://doi.org/10.32674/f4v9b806
Torraco, R. J. (2005). Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review, 4(3), 356–367.
Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., Wasson, B., Tømte, C., Spikol, D., Milrad, M., Coelho, R., & Kizilcec, R. F. (2025). What explains teachers' trust in AI in education across six countries? International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-024-00433-x
Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on students' academic development. Education Sciences. https://doi.org/10.3390/educsci15030343
Yim, I. H. Y., & Su, J. (2025). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computers in Education. https://doi.org/10.1007/s40692-023-00304-9
Yuan, L., & Liu, X. (2025). The effect of artificial intelligence tools on EFL learners' engagement, enjoyment, and motivation. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2024.108474
Zou, Y., Kuek, F., Feng, W., & Cheng, X. (2025). Digital learning in the 21st century: Trends, challenges, and innovations in technology integration. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1562391
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2026 Bindiya Jain

This work is licensed under a Creative Commons Attribution 4.0 International License.
https://creativecommons.org/licenses/by/4.0












