Universities, colleges and training institutions across Africa are under pressure to improve outcomes while managing constrained resources. Data and analytics can help them understand which programmes work, where students struggle, and how to target interventions.
Early-warning systems can flag students at risk of dropping out based on attendance, performance and engagement patterns. Curriculum analytics can reveal which modules consistently produce bottlenecks. Feedback tools can capture student sentiment in near real-time.
However, using data in education requires sensitivity. Privacy, consent and ethics are critical. Students must trust that their data will be used to support their success, not to penalise them unfairly.
When done well, analytics in education enables more personalised support, more efficient resource allocation, and richer insights into what drives learning in African contexts.