验证性因素分析
情感(语言学)
心理学
可靠性(半导体)
混合学习
实证研究
知识管理
应用心理学
结构方程建模
考试(生物学)
计算机科学
教育技术
数学教育
机器学习
统计
数学
生物
物理
古生物学
量子力学
功率(物理)
沟通
作者
Jen‐Her Wu,Robert D. Tennyson,Tzyh-Lih Hsia
标识
DOI:10.1016/j.compedu.2009.12.012
摘要
This study proposes a research model that examines the determinants of student learning satisfaction in a blended e-learning system (BELS) environment, based on social cognitive theory. The research model is tested using a questionnaire survey of 212 participants. Confirmatory factor analysis (CFA) was performed to test the reliability and validity of the measurements. The partial least squares (PLS) method was used to validate the measurement and hypotheses. The empirical findings indicate that computer self-efficacy, performance expectations, system functionality, content feature, interaction, and learning climate are the primary determinants of student learning satisfaction with BELS. The results also show that learning climate and performance expectations significantly affect learning satisfaction. Computer self-efficacy, system functionality, content feature and interaction significantly affect performance expectations. Interaction has a significant effect on learning climate. The findings provide insight into those factors that are likely significant antecedents for planning and implementing a blended e-learning system to enhance student learning satisfaction.
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