AI Helped Nigerian Students Achieve Two Years of Learning in Just Six Weeks
AI is changing the way students learn – and fast.
In Edo State, Nigeria, an after-school programme using generative AI delivered remarkable results. Students gained nearly two years’ worth of learning in just six weeks, with teachers playing a crucial role in this success. Here’s how it worked and what we can learn from it.
Table of Contents
The Programme and Its Results
Over six weeks in 2024, 800 students attended after-school classes focused on English grammar and writing. Using Microsoft Copilot as a virtual tutor, the programme helped students improve their English, AI knowledge, and digital skills. The results were remarkable:
- Students significantly outperformed peers who didn’t participate, not just in the programme’s focus areas, but even on unrelated end-of-year exams.
- All students benefited – even those who started behind. Girls, who initially lagged behind boys, showed particularly strong improvements.
- The programme achieved learning gains of 0.3 standard deviations – equivalent to almost two years of learning in a standard classroom.
Why the Programme Worked
Several factors contributed to its success:
- Teacher-Led Implementation
AI wasn’t used to replace teachers. Instead, teachers acted as mentors, guiding students in using AI effectively. Each session began with teacher-led introductions and suggested AI prompts, ensuring students understood both the content and how to use AI as a learning tool. - High Engagement Levels
The programme tracked attendance closely, revealing that every extra session students attended led to measurable gains. Teachers ran short reflection sessions after each lesson to reinforce key takeaways. - Collaborative Learning Environment
Teachers formed informal groups to share best practices, refine the programme, and build confidence. This collaborative approach helped address challenges and improve outcomes.
How Teachers Made It Work
Teachers weren’t just supervisors – they were central to the programme’s success. Here’s how they made it work:
- Strategic Resource Development
Teachers created toolkits with suggested prompts and examples tailored to students’ needs and local contexts. These included step-by-step guides and pre-designed prompts aligned with the curriculum. - Infrastructure Management
Teachers helped overcome challenges like internet outages and power cuts by developing backup plans and offline solutions when needed. - The PIONEER Approach
Teachers followed a framework that prioritised student engagement, inspired collaboration, optimised programme duration, nurtured infrastructure, empowered learners with resources, enhanced implementation through monitoring, and reduced risks of AI overreliance.
Lessons for the Future
This programme demonstrated the immense potential of AI in education, especially in developing contexts. Key takeaways include:
➡️ Teacher involvement is critical – AI alone isn’t enough.
➡️ Programme duration matters – longer programmes could deliver even greater benefits.
➡️ Infrastructure support is essential – reliable power and internet access are fundamental.
➡️ AI can bridge educational gaps – especially for underperforming groups.
The Road Ahead
This is just the beginning. The study raised important questions for future exploration:
- What are the long-term impacts of such programmes?
- How do students’ interactions with AI evolve over time?
- Can these benefits extend to other subjects?
- How can we scale this approach while maintaining quality?
The key is using AI to empower both teachers and students as a tool for deeper, more effective learning. The most successful programmes will be those that combine the strengths of AI with the expertise and guidance of educators.
Have you seen similar uses of AI in education? How do you think it could improve learning in your context?
