aceArtificial Intelligence, Cybersecurity and Digital Learning Resilience in Higher Education: An Integrative Review and Capacity-Sensitive Framework for Resource-Constrained Universities
Purpose: Artificial intelligence (AI) is now embedded in teaching, assessment and administration in higher education, simultaneously widening educational opportunity and institutional cyber exposure. This review examines how AI-related and conventional cyber threats affect the continuity of digital learning, how AI can both amplify and mitigate those threats, and which integrated responses are feasible for resource-constrained universities, with Nigeria as the illustrative context. Design/Methodology/Approach: A…
Large language models lower the cost of persuasive phishing, and AI-text detectors and automated proctoring raise reliability and fairness concerns, threatening continuity of digital learning in universities.
The framework is conceptual and unvalidated, and comparative implementation studies are needed to establish its effect on recovery time and equitable access.
Evidence
- Peer-reviewedAsian Journal of Research in Computer Science2026-10-17
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Truvace Impact Record TRV-2026-1848, v1: “Artificial Intelligence, Cybersecurity and Digital Learning Resilience in Higher Education: An Integrative Review and Capacity-Sensitive Framework for Resource-Constrained Universities.” Truvace, 2026-10-18. /record/TRV-2026-1848 (accessed at citation time). sha256 1150594a0c480a87…
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