AI to the Rescue: Fixing Nigeria’s CBT Challenges
Computer-Based Testing in Nigeria,
though promising, faces recurring setbacks: unstable power, poor internet, and
system crashes that frustrate candidates. These challenges raise fairness
questions in high-stakes exams like UTME and professional certifications. AI
and modern IT solutions can restore trust and reliability in Nigeria’s exam
ecosystem.
Since 2013, when
JAMB introduced Computer-Based Testing (CBT) for the Unified Tertiary
Matriculation Examination (UTME), Nigerian candidates have faced repeated
challenges. Power outages, inadequate server capacity, and unreliable internet
connectivity often disrupt exams. In 2020, reports surfaced of candidates being
logged out mid-exam due to system failures, while others complained of
questions not loading at all. These issues not only disadvantage students but
also undermine public trust in digital education reforms.
The impact is severe: candidates sometimes travel long distances only to
find centers unable to function; parents invest heavily in preparation, yet
their children are judged by flawed systems. Beyond JAMB, professional exams
like ICAN and nursing boards face similar disruptions.
AI and IT can offer practical solutions. Predictive AI models can
forecast server loads and automatically reassign candidates to less-burdened
nodes in real time. AI-driven monitoring tools can detect cheating attempts
without human bias, reducing the need for overcrowded physical invigilation.
Cloud-based exam delivery, supported by adaptive offline-first systems, would
ensure continuity even during internet outages. Furthermore, AI-powered
chatbots could provide instant multilingual guidance to anxious candidates
before and during exams.
If properly deployed, these solutions can make CBT not just a
technological experiment but a reliable backbone of Nigeria’s educational
system—one that is fair, scalable, and trusted by all stakeholders.
To secure the future of digital testing in Nigeria, stakeholders must
invest in AI-driven infrastructure, robust backup systems, and
candidate-centered support. Let’s re-engineer CBT into a platform that rewards
merit, not chance. Reliability is possible—if technology is applied wisely.

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