Harnessing AI for Education 4.0: Drivers of Personalized Learning

This systematic literature review identifies drivers of personalized learning in Education 4.0 and examines how AI can support personalization through learner profiling, adaptive content, and intelligent interfaces. The paper is a theoretical review of existing literature rather than an evaluation of specific AI systems or benchmarks.

Personalized learning, a pedagogical approach tailored to individual needs and capacities, has garnered considerable attention in the era of artificial intelligence (AI) and the fourth industrial revolution. This systematic literature review aims to identify key drivers of personalized learning and critically assess the role of AI in reinforcing these drivers. Following PRISMA guidelines, a thorough search was conducted across major peer-reviewed journal databases, resulting in the inclusion of

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