Artificial intelligence is gaining traction in higher education for its ability to simulate human intelligence and support learning processes. This systematic review investigates how artificial intelligence-enhanced teaching approaches are being applied in higher education institutions across the Global South. The study draws on peer-reviewed literature identified through a structured search of SCOPUS and Web of Science databases, using clearly defined inclusion and exclusion criteria. The findings reveal that most applications focus on improving technical efficiency and administrative functions, while pedagogical integration remains limited. Key barriers include inadequate infrastructure, unequal access to digital tools, limited faculty preparedness, and ethical considerations.
https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2025.1667884/abstract
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Efficiency is more important for effective AI use than performance. Businesses may maximize the return on their AI investments and manage their operations by monitoring token consumption. Businesses may make well-informed decisions regarding budget distribution, scaling, and use limits by monitoring how various teams or applications use tokens.
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