FAINE Faculty Fellows
A selected group of academics generating real-world evidence to guide the responsible integration of AI in Nigerian higher education.
Core Responsibilities
Course Digitisation
Selecting and deploying existing courses on an AI-supported learning platform, ensuring academic authority and technical accuracy are preserved.
Evidence Building
Teaching with emerging AI tools, observing student engagement, and providing structured feedback on what works and what risks require attention.
Thought Leadership
Participating in FAINE convenings to share practical insights that inform evidence-based policy and national best-practice recommendations.
Generating a Local Evidence Base
Discussions about AI in education must be grounded in evidence from real classrooms, real students, and real institutional conditions. Policy positions and recommendations remain weak if based only on theory or foreign case studies.
FAINE Faculty Fellows are a small group of selected academics helping to generate this evidence. By digitising their courses and using AI as a teaching and learning support tool, they ensure that AI transforms Nigerian education responsibly—shaped from within the university system.
Nominate a ColleagueFellowship Commitments
The program is designed to be as light as possible for participating lecturers while remaining academically rigorous.
Phase 1: Course Preparation
Select an existing course for digitisation. Provide the syllabus and recommended texts, and review the digitised content for structure, learning outcomes, and technical accuracy.
Phase 2: Teaching & Observation
Teach the selected course for at least one semester using an AI-supported platform as a learning support tool, identifying areas where students commonly struggle.
Phase 3: Feedback & Insight
Provide periodic feedback during and after the semester, and where appropriate, participate in FAINE discussions to share practical insights from the experience.