Assessing Graduate Student Satisfaction with E-Learning: A Case Study of Sichuan Conservatory of Music
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Abstract
Purpose: This study examines key determinants of graduate student satisfaction with the e-learning system at Sichuan Conservatory of Music, aiming to enhance e-learning effectiveness and outcomes. Research design, data and methodology: This research adopts a quantitative approach grounded in Expectation Confirmation Theory and the DeLone and McLean Information System Success Model. A structured questionnaire was administered to 500 senior students, selected through a combination of judgment, stratified random, and convenience sampling. Data were analyzed using Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) to validate the proposed model and assess relationships among variables. Results: Information quality, perceived usefulness, and service quality significantly influenced student satisfaction. Course content quality also positively affected perceived usefulness. However, system quality, perceived ease of use, and course design quality showed no significant impact on satisfaction in the current analysis. Conclusions: The study accurately identifies key factors shaping e-learning satisfaction and highlights the critical role of information quality, perceived usefulness, and service quality. Based on these findings, practical recommendations are proposed to improve content delivery, system support, and service responsiveness. These insights not only guide future improvements at Sichuan Conservatory but also offer a valuable reference for other institutions seeking to enhance student engagement and outcomes in digital learning environments.
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