Zhang Peng
Xi'an University of Technology, Xi'an, China.
Xi'an Technological University, Xi'an, China.
Front Psychol. 2021 Nov 26;12:783610. doi: 10.3389/fpsyg.2021.783610. eCollection 2021.
Pandemic has changed the whole scenario worldwide, not only related to business but also has equally affected the education sector. The classes have gone online from their physical nature, making it more convenient for students to learn. They provide online courses and lectures at the convenience of teachers and students. This study has also been one such effort in identifying the role of technological applications, intentions, and time flexibility in the digital learning behavior of students in China. The sample used in this study was the students taking online courses through their universities. The sample size was 343 students selected through purposive sampling. Smart PLS 3.3.3 has been used for data analysis structural equation modeling. This study has found that technological applications play an important role in digital learning behavior, positively moderated by goal-setting behavior. Similarly, intentions predict digital learning behavior. Moreover, social pressure has also been found to augment the role of time flexibility in digital learning behavior. These results are very useful for universities that make understanding the online nature of studies more comprehensive.
疫情改变了全球的整个局面，不仅涉及商业，也同样影响了教育领域。课程从实体形式转变为线上形式，这让学生学习起来更加便捷。它们在方便教师和学生的情况下提供在线课程和讲座。本研究也是一项旨在确定技术应用、意图和时间灵活性在中国学生数字学习行为中的作用的努力。本研究使用的样本是通过所在大学修读在线课程的学生。样本量为通过目的抽样选取的343名学生。Smart PLS 3.3.3已用于数据分析——结构方程建模。本研究发现，技术应用在数字学习行为中发挥着重要作用，目标设定行为对其有正向调节作用。同样，意图预测数字学习行为。此外，还发现社会压力增强了时间灵活性在数字学习行为中的作用。这些结果对于那些使对学习在线性质的理解更加全面的大学非常有用。
