THE APPLICATION OF ARTIFICIAL INTELLIGENCE FOR PERSONALIZED STUDENT LEARNING ACTIVITIES

Abstract

This study analyzes the role of AI in personalizing student learning activities, from core concepts and theoretical underpinnings to practical applications, while also clarifying influencing factors, challenges, and barriers and proposing solutions. A mixed-methods approach was employed, combining literature review and analysis with a survey of 594 students and in-depth interviews with 10 students and 5 instructors at Ho Chi Minh City University of Education. The findings suggest that AI has significant potential to enhance learning outcomes, foster student motivation, and increase student engagement. However, its effectiveness depends on factors such as data quality, system design, instructor competency, student involvement, and ethical considerations. Limitations include the non-representative survey sample and the need for further experimental research to confirm these results