Current - Issue

Examination malpractice in Nigeria has evolved from conventional impersonation into a sophisticated, technology-enabled ecosystem of organized fraud. This paper presents the first empirical analysis of biometric fraud and syndicated collusion in Nigeria’s Unified Tertiary Matriculation Examination (UTME), drawing on primary data from the Special Committee on Examination Infractions (SCEI) — a 23-member government-appointed body constituted by the Joint Admissions and Matriculation Board (JAMB) in August 2025. The SCEI investigated 6,458 suspected cases spanning six categories: finger blending (4,251), image morphing via AI software (190), albinism falsification (1,878), multiple NIN registrations (30), credential forgery (24+), and solicitation (110). Evidence comprised biometric forensic audits, suspect interviews, digital financial trail analysis, and a stakeholder survey of 416 respondents. Findings reveal a tripartite collusion structure — candidates, CBT centre operators, and parents/guardians — sustained by commercial pricing structures ranging from ₦7,500 to ₦180,000, AI morphing tools, biometric tampering devices, and VPN-enabled ghost registrations. Only 10.1% of stakeholders rated current security measures as effective. A governance gap analysis demonstrates that Nigeria’s Examination Malpractice Act, Cybercrimes Act, and JAMB Act lack explicit provisions for biometric and AI-enabled fraud, sustaining systematic impunity for syndicate actors. The paper proposes the Examination Integrity Governance Framework (EIGF): a four-pillar architecture of detection, deterrence, prevention, and cultural reorientation. It contributes the first empirically grounded typology of technology-enabled examination fraud in Sub-Saharan Africa and a purpose-built governance framework for the Nigerian UTME context.