Prioritise equity-centred approaches, methodological diversity, contextual specificity, implementation science and interdisciplinary collaboration in GenAI research¶

Strategy · All strategies
Evidence · 1 claim (1 mixed) · 1 study (1 theoretical), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The review's forward-looking recommendation for future research on GenAI in Global South higher education. The authors "recommend that future research prioritise equity-centred approaches, methodological diversity, contextual specificity, implementation science, and interdisciplinary collaboration". The aim is to understand how GenAI can enhance educational opportunities without reinforcing existing disparities across the diverse contexts of the Global South.

Design Implications¶

Context¶

Requirements¶

• Research designs capable of attending to equity and context, per the review's gap analysis

Constraints¶

• Directed at future research on GenAI in Global South higher education contexts

Target Learners¶

• higher education students in the Global South

Target Learning Goals¶

• ensuring GenAI enhances educational opportunities without reinforcing existing disparities

Claims¶

• Contrary to claims that AI will automatically engender a more democratic, equal, and sustainable world, the editorial argues these technologies tend to exacerbate existing inequalities, environmental degradation, and labour precarity [~W]

Related Strategies¶

• Strengthen the evidence base with comparative and longitudinal designs and include rural, underserved, and low-resource communities before presenting GenAI as democratizing
• Prioritize real-world testing of AI tools in university settings, environmental impact measurement, and integrated ethical-sustainability policies
• Future AIHEd research should give greater attention to ethics, methodological rigour, context, and interdisciplinary collaboration
• Prioritize research on GenAI's impact on students with disabilities and design personalized teaching strategies for their needs
• Prioritize construct-to-data mappings, multimodal validation, ethical implementation, and cross-disciplinary collaboration for domain-specific adaptive systems

Examples¶

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Key Sources¶

• 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