Multidisciplinary Subjects
From Curriculum Obsolescence to Curriculum Intelligence: Rethinking Education in the Age of Artificial Intelligence
1 Department of Education, College of Education, Kean University, Union, NJ, USA
Abstract
Global classrooms are ageing faster than the knowledge they are meant to transmit, and this widening gap between what curricula teach and what artificial intelligence now makes possible forms the departure point for the paper “From Curriculum Obsolescence to Curriculum Intelligence: Rethinking Education in the Age of Artificial Intelligence.” The paper examined three objectives: to examine the manifestations and drivers of curriculum obsolescence in the age of artificial intelligence, to interrogate the conceptual shift from static curriculum design toward curriculum intelligence as an adaptive, data-responsive framework, and to evaluate strategies through which higher education institutions can reposition curriculum development to achieve curriculum intelligence. The paper adopted Connectivism as its theoretical anchor, given its emphasis on knowledge that is distributed across networks and continuously updated. Methodologically, the paper followed a desk-based, qualitative design, relying on a review of recent literature, policy documents and empirical studies drawn from both global and Nigerian higher education settings. Findings show that curricula reviewed on fixed, multi-year cycles cannot match the pace at which artificial intelligence reshapes labour markets and knowledge domains, that curriculum intelligence depends on continuous feedback between classrooms, industry and technology rather than periodic committee revision, and that Nigerian universities illustrate this obsolescence through programmes that remain disconnected from artificial intelligence-driven labour market realities. The paper concluded that curriculum intelligence, rather than curriculum obsolescence, should define institutional planning going forward, and recommended the adoption of adaptive curriculum governance structures, sustained lecturer retraining and closer university-industry data partnerships.
Keywords: Curriculum Obsolescence, Curriculum Intelligence, Artificial Intelligence, Higher Education, Curriculum Reform
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