Wu Changcheng, Gong Xue, Luo Li, Zhao Qingling, Hu Shan, Mou Ya, Jing Bin
School of Computer Science, Sichuan Normal University, Chengdu, China.
Department of Laboratory and Equipment Management, Sichuan Normal University, Chengdu, China.
Front Psychol. 2021 Nov 8;12:738959. doi: 10.3389/fpsyg.2021.738959. eCollection 2021.
Academic emotions refer to the emotions related to achievement activities or outcomes. Academic emotions are directly related to learning performance and have been recognized as critical to learners' learning satisfaction and learning effectiveness in the online learning context. This study aimed to explore the relationship between academic emotions and learning satisfaction and their underlying mechanisms in massive open online courses (MOOCs) learning context using mediation models. This study adhered to the theoretical frameworks of the control-value theory (CVT) and the unified theory of acceptance and use of technology (UTAUT). Participants were 283 pre-service teachers who volunteered from a normal university in Southwestern China. Results revealed that: (a) academic emotions did not predict learning satisfaction; (b) learning interest and technology acceptance fully mediated the influence of academic emotions on learning satisfaction; (c) the four dimensions of technology acceptance did not mediate the relationship between academic emotions and learning satisfaction. This study integrated CVT and UTAUT models, and the results emphasized the importance of academic emotions and learning satisfaction in CVT and provision of additional support for UTAUT. Therefore, these findings have significant implications for improving the quality of MOOCs in the post-pandemic era.
学业情绪是指与成就活动或结果相关的情绪。学业情绪与学习成绩直接相关,并且在在线学习环境中已被认为对学习者的学习满意度和学习效果至关重要。本研究旨在使用中介模型探讨大规模在线开放课程(MOOCs)学习环境中学业情绪与学习满意度之间的关系及其潜在机制。本研究遵循了控制-价值理论(CVT)和技术接受与使用统一理论(UTAUT)的理论框架。参与者是来自中国西南部一所师范大学的283名职前教师,他们是自愿参与的。结果显示:(a)学业情绪不能预测学习满意度;(b)学习兴趣和技术接受完全中介了学业情绪对学习满意度的影响;(c)技术接受的四个维度并未中介学业情绪与学习满意度之间的关系。本研究整合了CVT和UTAUT模型,结果强调了学业情绪和学习满意度在CVT中的重要性,并为UTAUT提供了额外支持。因此,这些发现对提高后疫情时代MOOCs的质量具有重要意义。