Litcius/Paper detail

AI-Driven Personalized Learning

Muhammad Usman Tariq

2025Advances in computational intelligence and robotics book series11 citationsDOI

Abstract

The revolutionary potential of AI-driven personalized learning to improve teacher effectiveness and student engagement is examined in this chapter. By customizing content to each learners unique learning needs and preferences AI technologies like intelligent tutoring platforms and adaptive learning systems are revolutionizing educational experiences. By letting students advance at their own speed and addressing their weaknesses and strengths personalized learning creates a more stimulating and productive learning environment. The importance of artificial intelligence (AI) in boosting student motivation is examined in this chapter using interactive tools such as gamification augmented and virtual reality apps and real-time feedback systems. The chapter discusses how AI affects student learning as well as how it can help teachers become more efficient by automating repetitive administrative duties like attendance and grading. Teachers can concentrate more on professional development teamwork and instruction by freeing up valuable time.

Topics & Concepts

Computer sciencePersonalized learningArtificial intelligencePsychologyMathematics educationOpen learningTeaching methodCooperative learningVirtual Reality Applications and ImpactsAugmented Reality ApplicationsRobotics and Automated Systems