AI Implementation Research: Why Technology Deployment Alone Fails
Deploying technology without building capacity is the most common reason AI projects fail in Nigerian schools.
Written by Curriva Team
Research across Sub-Saharan Africa shows a consistent pattern: technology deployment without capacity building leads to failure. This finding has direct implications for Nigerian schools. The Deployment Trap Schools purchase devices. Install software. Provide one training session. Expect adoption. When adoption fails, blame the technology or the teachers. What Research Shows Technology deployment increases device access by 40 percent but shows minimal impact on learning outcomes without capacity building. With capacity building, the same technology improves outcomes by 20 to 35 percent. The Capacity Gap Teachers need digital literacy. Teachers need tool-specific training. Teachers need pedagogical integration support. Teachers need ongoing coaching. The Solution Phase 1: Assessment of current capacity. Phase 2: Infrastructure that matches actual needs. Phase 3: Training that builds skills progressively. Phase 4: Support that continues after initial training. Phase 5: Evaluation that measures impact. Nigerian Context Many Nigerian schools have devices without internet. Some have internet without devices. Few have both with trained teachers. Addressing the full picture is essential. Curriva Deployment Model Curriva provides offline-capable tools for schools with limited connectivity. Progressive training builds capacity at each level. Ongoing support ensures sustained use.
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See Curriva implementation researchFrequently Asked Questions
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