An analytical model of college students’ self-assessed satisfaction with the effectiveness of online learning: a structural equation model integrating LICE and S-O-R models

Autor: Xin Dai, Rong rong Wang, Xue feng Huang, Xiao xue Wang, Ya ting Huang, Yingying Li, Yuqing Wu, Chong yuan Guan, Regina Queen Kazembe, Yuanyuan Zhang, Bo Gao
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Psychology, Vol 14 (2024)
Druh dokumentu: article
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2023.1248729
Popis: BackgroundNowadays, e-learning significantly affects college students’ academic life. This study aims to examine the factors that influence college students’ satisfaction with online learning outcomes.MethodThe study population consisted of undergraduate students from Dalian Medical University, with a total of 715 college students participating in the study. Out of these participants, 602 valid questionnaires were obtained. Demographic data was analyzed using SPSS.22, and the data was cleaned and prepared for testing the research hypotheses. The proposed research framework was examined using structural equation modeling (SEM) through Smart-PLS 3.0.ResultsThe results of the study showed that student satisfaction with learning outcomes was positively correlated with several factors: quality of teacher instruction (β = 0.100, p
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