AI Implementation Research: The Capacity Developmental Framework for Nigerian Schools
Research reveals that AI implementation fails not because of technology, but because of capacity gaps. The developmental framework addresses this.
Written by Curriva Team
A capacity developmental framework for AI implementation in Nigerian schools addresses the gap between technology availability and effective use. Research shows that sustainable AI adoption requires systematic capacity building. The Research Finding Studies across Sub-Saharan Africa show that AI tools fail when introduced without capacity building. Teachers lack training. Schools lack infrastructure. Administrators lack understanding. The technology fails not because it does not work, but because the capacity to use it does not exist. The Four Capacity Levels Level 1: Digital literacy. Can teachers use basic technology? Level 2: Tool proficiency. Can teachers use specific AI tools? Level 3: Pedagogical integration. Can teachers use AI to improve instruction? Level 4: Innovation. Can teachers adapt AI for new educational approaches? The Developmental Approach Start where teachers are. Build one level before moving to the next. Provide ongoing support. Measure progress. Implementation Strategy Assessment: determine current capacity level. Training: targeted to the next level. Practice: supervised implementation. Support: ongoing coaching and resources. Evaluation: measure impact on student outcomes. Curriva Capacity Building Curriva provides tools at each capacity level. Basic features support digital literacy. Curriculum integration features support pedagogical integration. Advanced features support innovation. Timeline Research suggests 12 to 18 months to move from one capacity level to the next with consistent support.
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