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Harnessing AI for Education 4.0: Drivers of Personalized Learning
This systematic literature review examines drivers of personalized learning in Education 4.0 and assesses how AI can reinforce these drivers, analyzing 102 studies published between 2013-2022 to identify key factors like individual student characteristics, content delivery customization, and adaptive assessment mechanisms.
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