| 英文摘要 |
Driven by the severe challenges of declining birthrates and intensifying enrollment competition, enhancing freshman persistence has become an urgent priority in the governance of private technological universities. This study examined 711 undergraduate freshmen at a technological university in the 2024 academic year. Integrating learning adaptation survey data with longitudinal enrollment records, and grounded in Expectation Disconfirmation Theory, Tinto’s Student Integration Model, and Herzberg’s Two-Factor Theory, this study constructs a dual-track analytical framework to examine the mechanisms influencing departure intention and actual withdrawal behavior. The results indicate that perceived life support exerts a significantly stronger total indirect effect on dropout intentions than academic support. Furthermore, learning adaptation not only directly reduces dropout intentions but also exerts a serial indirect effect through value identification and overall satisfaction, with admission preference ranking serving as a critical background risk factor. Actual withdrawal behavior exhibits distinct divisional disparities: day-division students are primarily influenced by the interaction between learning adaptation and admission pathways, whereas continuing-education students are predominantly driven by external pressures such as career, financial, and life demands. Consequently, this study proposes division-specific early-warning systems and differentiated intervention strategies, recommending that technological universities simultaneously strengthen expectation management, learning adaptation support, and institutional life support systems to enhance freshman retention and persistence. |