Wagiran Wagiran, Suharjana Suharjana, Nurtanto Muhammad, Mutohhari Farid
Department of Mechanical Engineering Education, Yogyakarta State University, Indonesia.
Department of Sports Science, Yogyakarta State University, Indonesia.
Heliyon. 2022 Oct;8(10):e11160. doi: 10.1016/j.heliyon.2022.e11160. Epub 2022 Oct 19.
The low readiness of university students to implement e-learning during the COVID-19 pandemic is a worrying issue. Lack of motivation and satisfaction in learning coupled with low technological skills are widely revealed as contributing factors. This study examines the role of technological skills, equipment capabilities, user satisfaction, and motivation on e-learning readiness. Furthermore, the study also examines the significance of the mediating role of motivation. The study adopted an ex-post-facto design involving 1052 students as participants. Data is collected from a questionnaire form integrated into the university's e-monev system. SEM-PLS is a data analysis tool with a confidence interval of 97.5%. After being analysed, technology skills, equipment capabilities, user satisfaction, and motivation are proven to play a role in e-learning readiness. Likewise, motivation also succeeded in proving its mediating role in this study. The study's results further clarify that efforts to improve e-learning readiness require digital technology capabilities, equipment capabilities, user satisfaction, and motivation, so vocational education must strengthen these aspects.
在新冠疫情期间,大学生对实施电子学习的准备不足是一个令人担忧的问题。学习缺乏动力和满意度,再加上技术技能较低,这些因素被广泛认为是造成这一情况的原因。本研究考察了技术技能、设备能力、用户满意度和动机对电子学习准备度的作用。此外,该研究还考察了动机的中介作用的重要性。本研究采用事后回溯设计,涉及1052名学生作为参与者。数据通过整合到大学电子财务系统中的问卷形式收集。结构方程模型-偏最小二乘法(SEM-PLS)是一种数据分析工具,置信区间为97.5%。经过分析,技术技能、设备能力、用户满意度和动机被证明在电子学习准备度中发挥作用。同样,动机在本研究中也成功证明了其中介作用。研究结果进一步表明,提高电子学习准备度的努力需要数字技术能力、设备能力、用户满意度和动机,因此职业教育必须加强这些方面。