AI-driven personalized learning-enhancing student engagement and outcomes

dc.contributor.authorTariq, Muhammad Usman
dc.date.accessioned2025-07-15T08:42:37Z
dc.date.available2025-07-15T08:42:37Z
dc.date.issued2025
dc.description.abstractThis chapter dives into the extraordinary capability of artificial intelligence driven customized learning in upgrading understudy commitment and results, especially inside the setting of distance training. The chapter begins by outlining the significance of personalized learning in fostering individualized educational experiences and addressing the diverse requirements of students. It investigates key parts and advantages of customized getting the hang of, outlining how simulated intelligence innovations, for example, AI, versatile calculations, and regular language handling customize and upgrade the educational experience. The section likewise features different computer-based intelligence driven apparatuses, including versatile learning stages and smart coaching frameworks, that altogether add to understudy inspiration and interest. It also looks at how AI can simplify grading and assessment, provide real-time feedback, and overcome obstacles when implementing AI in education. Keywords: Distance trainings, Educational experiences, Key parts, Personalized learning, Real-time feedback, Student engagement, Student outcomes
dc.identifier.citationTariq, M. U. (2025). AI-Driven Personalized Learning-Enhancing Student Engagement and Outcomes. In AI and Learning Analytics in Distance Learning (pp. 151-178). IGI Global Scientific Publishing.
dc.identifier.doihttps://doi.org/10.4018/979-8-3693-7195-4.ch007
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/7287
dc.language.isoen
dc.publisherIGI Global
dc.titleAI-driven personalized learning-enhancing student engagement and outcomes
dc.typeBook chapter

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