The global expansion of digital educational systems has sharpened scholarly and institutional interest in technologies that can strengthen educational administration, learner evaluation, and data security. This is especially true in conflict-affected regions like northern Nigeria, where educational disruptions, fragmented learner records, and compromised data integrity remain persistent challenges. This study examined how integrating blockchain-assisted verification and artificial intelligence can enhance educational data integrity and learner performance evaluation within conflict-affected schools in Zamfara State, Nigeria. Specifically, it investigated the challenges affecting educational data integrity, assessed the practical applicability of blockchain-assisted verification, evaluated the role of artificial intelligence in learner performance evaluation, and explored the relationship between blockchain systems, artificial intelligence, and educational data integrity. A mixed-methods descriptive survey design was adopted, with structured questionnaires administered to 399 respondents drawn from teachers, school administrators, examination officers, ICT personnel, and educational officials through stratified and purposive sampling. Data were analyzed using descriptive statistics, Pearson Product Moment Correlation, and Simple Linear Regression. The findings showed that blockchain-assisted verification systems significantly improve educational data integrity and institutional trust, while artificial intelligence significantly enhances learner performance evaluation and educational continuity. The study concludes that integrated digital educational technologies hold considerable potential for strengthening educational resilience and digital governance in conflict-affected environments, and recommends increased governmental investment in digital infrastructure, technological training, and supportive policy for blockchain and artificial intelligence integration within Nigerian schools.

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