Demonstrates improved academic outcomes in higher education through generative AI, suggesting a new paradigm for curriculum design.
They made a go for it, and ever more capable AI, particularly in the form of generative AI, will inaugurate the learning industry. It will enable real-time, dynamic, data-guided program design in higher education. Universities inclined to define unitary, static, enterprise-wide curricula lack the speed and downsizing needed. This article postulates a dataguided, forward-working, and emergent curriculum, autonomous of delays, wherein generative AI will enable the manipulation of academic learning outcomes and the real-time writing of a curriculum based on the formation of students' learning outcomes, labour market trends and contours, and university directions. Emerging from built-in, advanced AI large language models, learning analytics, adaptive feedback systems, and omnibus load approaches to find, track, and reshape university curricula from existing pathways to future-ready, resident-oriented curriculum designing, it uses a concurrent mixed-methods research design to mitigate three research questions, i.e., (1) how an AI-specific, emergent, and self-evolving curriculum indicates students' academic attainments, abstract reasoning, and more-than-everobvious employability; (2) what participants view about the system and what their future longings are; and (3) how different course modules transfer the domain knowledge and the requisite skills to prompt the curricula's innovativeness. A subsequent emergent curriculum is improvised and piloted for testing. The exploration asserts that AI-aided curriculum design enhances effective learning, emotional engagement, ease, relevance, and ultimate responsiveness to target groups. Although serious problems, such as personal data risk, algorithmic bias, data-collection abuse, institutional governance, and the use of attacker credentials, are addressed, the project repackages the development and invention of a brand-new paradigm for curriculum design processes in academia. It fabricates a universal, emergent, self-evolving curriculum system for intelligent education. It proved to be the moment when AI, in the midst of the hyper-SMART curriculum era, could be used to foster a more-than-ever SMART curriculum.
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Ajlan Al-Ajlan (2026) studied this question.
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