Vol. 2 No. 3 (2025)

We are pleased to present the third issue of our journal, featuring groundbreaking research on adaptive learning technologies in higher education administration.
Our highlight article by Jing Zuo explores an innovative approach to constructing adaptive learning paths for university administrative staff using large language models. This research demonstrates remarkable improvements in efficiency and effectiveness: a 20% reduction in learning time, 20.3% improvement in knowledge mastery, 19.4% enhancement in application ability, and an impressive 31.4% increase in knowledge retention compared to traditional methods. The study provides a comprehensive theoretical model and technical framework employing multidimensional learner modeling, knowledge tracking, and dynamic path generation algorithms to deliver personalized learning experiences.
This research represents an important advancement in intelligent education systems for administrative staff development.