Research on the Internal Relationships in Undergraduates'Online Learning Competence Based on Structural Equation Modeling
10.12259/j.issn.2095-610X.S20250518
- VernacularTitle:基于结构方程模型的本科生在线学习力内部关系研究
- Author:
Shurui LIU
1
;
Haonan ZHANG
;
Zhenting YANG
;
Kunjie MA
;
Zhenhui SUN
;
Yingying ZOU
;
Zhihong YANG
Author Information
1. 昆明医科大学第一临床医学院,云南 昆明 650032
- Keywords:
Structural equation modeling;
Online learning ability;
Mediation effect;
Undergraduate;
Internal relationships
- From:
Journal of Kunming Medical University
2025;46(5):149-156
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the interaction mechanisms among different dimensions of online learning competence in undergraduates,providing scientific evidence for optimizing software design and online education strategies.Methods A cross-sectional study was conducted with 347 undergraduates from Kunming Medical University via an online questionnaire in October 2024.Reliability testing and exploratory factor analysis were performed using SPSS 26.0,while structural equation modeling was constructed with Amos 24.0.Results Driving force directly and positively influenced regulatory force(β=0.778,P<0.001)and reciprocal force(β=0.302,P=0.003),but had no significant direct effect on adaptive force(β=0.131,P=0.182).Regulatory force and reciprocal force both exerted direct positive effects on adaptive force(β=0.262,P=0.022;β=0.410,P<0.001).The indirect effect of driving force on adaptive force accounted for 78.1%of the total effect(P=0.007),with regulatory force showing a significant mediating role(β=0.178,P=0.023),while reciprocal force alone did not(β=0.108,P=0.060).A chain mediating effect(driving force→regulatory force→reciprocal force→adaptive force)was confirmed(β=0.124,P=0.004).Conclusion Driving force serves as the core of online learning competence,and adaptive capacity is enhanced through regulatory and reciprocal forces.To promote knowledge internalization and adaptability,it is required to optimize feedback mechanisms and deepen interactive designs in online learning platforms.
