Factors Affecting Undergraduates Perceived Usefulness and Satisfaction with E-learning platform in Yibin, China

This study examines the key factors influencing undergraduate students’ perceived usefulness and satisfaction with E-learning platforms in Yibin, China. Integrating the Technology Acceptance Model (TAM), Expectation Confirmation Model (ECM), and Unified Theory of Acceptance and Use of Technology (UTAUT), the proposed framework includes five independent variables: Self-Efficacy (SE), Perceived Ease of Use (PEU), Facilitating Conditions (FC), Social Influence (SI), and Confirmation (CON); one mediating variable Perceived Usefulness (PU), and one dependent variable: Satisfaction (SAT). A structured questionnaire was distributed to 500 senior undergraduates from four majors at Sichuan University of Science & Engineering (Yibin campus). Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) were used for data analysis and model validation. Findings confirmed all six hypotheses. PU emerged as a central mediating factor, while CON and FC were found to significantly enhance student SAT. The study offers insights into optimizing support systems, usability, and learner engagement in digital education environments.