Litcius/Paper detail

AI-Driven Personalized Learning-Enhancing Student Engagement and Outcomes

Muhammad Usman Tariq

2025Advances in computational intelligence and robotics book series11 citationsDOI

Abstract

This 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.

Topics & Concepts

Personalized learningComputer sciencePsychologyMedical educationMathematics educationMedicineTeaching methodCooperative learningOpen learningIntelligent Tutoring Systems and Adaptive LearningOnline Learning and AnalyticsEngineering Education and Technology