Exploring the Impact of AI-based Adaptive Learning on Academic Achievement: Focusing on the Mediating Learning Flow and Self-Directed Learning Ability

Recently, as AI technology develops, interest in supporting individualized learning using AIbased adaptive learning systems is growing.This study applied Artificial Intelligence (AI)-based adaptive learning to nursing students in university classes.The purpose was to investigate the mediating effect of learning flow and self-directed learning ability on the relationship between learning motivation and academic achievement.For this purpose, the effectiveness of AI-based customized learning training was verified for 187 learners participating in the Medical-Surgical nursing classes among nursing students at University B in Region C. As a result of the study, the mediating effect of learning flow was partial, and self-directed learning ability partially mediated the relationship between learning motivation and academic achievement.This was an effective way for nursing students to learn because AI-based adaptive learning education improves their academic achievement by increasing learning motivation, learning flow, and self-directed learning ability.This study confirmed the usefulness of artificial intelligence-based adaptive learning operations in nursing major classes and provided an application plan for effective application in educational settings.It can also be used as basic data for artificial intelligence-based adaptive learning operations.In the future, research is needed to develop an educational model through AI-based adaptive learning and verify its effectiveness in the nursing field.