GenAI offers transformative possibilities for personalised learning, research support and administrative efficiency in Global South higher education¶

Claim · All claims
Evidence · 1 study · review r? · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Across the reviewed Global South literature, GenAI is perceived as offering transformative possibilities for personalised learning, research support, and administrative efficiency in higher education. → Nguyen 2026

Evidence¶

Nguyen 2026¶

Nguyen, T. A., & Perkins, M. (2026). Perceptions Of Generative AI in the Global South: A Scoping Review. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/f22j6648

q2 · i? · review · r?

The review's synthesis of 75 papers (2022-2025) on GenAI perceptions in Global South higher education reports that "GenAI offers transformative possibilities for personalised learning, research support, and administrative efficiency". This is the review's narrative synthesis, not a pooled effect estimate.

"The analysis reveals that GenAI offers transformative possibilities for personalised learning, research support, and administrative efficiency in higher education across the Global South"

Discussion¶

Related Claims¶

• GenAI tools are largely Global North products that have spread rapidly worldwide, including into Global South higher education — related
• The Global South GenAI literature shows limited geographic representation, stakeholder imbalance, and insufficient exploration of long-term outcomes — related
• AI integration is associated with improvements in teaching, learning, and administrative efficiency in higher education when supported by adequate infrastructure — related
• AI-enabled service delivery improves responsiveness, personalisation, and student satisfaction in higher education, but remains uneven globally — related
• Ethical, financial, and infrastructural barriers significantly constrain the long-term sustainability of AI-driven educational transformation in higher education — related
• Digital infrastructure readiness determines the scalability and effectiveness of AI systems in higher education, with disparities between high-income and low-income regions — related
• GenAI implementation in Global South higher education faces significant barriers including infrastructure, human capital, ethical, policy and contextual challenges — related
• Reviewed literature identifies personalisation, adaptive support, rapid feedback, and teacher-facing automation as recurring pedagogical opportunities of AI in mathematics education — related
• AI outcomes in higher education are shaped by leadership capacity, infrastructure readiness, and governance structures rather than functioning independently — related
• Reviewed AI literature portrays AI as having transformative capacity to reshape educational methodologies, with a need for balancing guidelines — a broader claim this one bears on
• GenAI can provide personalised feedback in group work, but the depth of personalisation is contested — related
• GenAI is reshaping assessment practices in computer science education through automation, scalability, and personalized feedback — a narrower finding that bears on this claim