Abstract
The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers.
Highlights
The novel Coronavirus wave has changed the world dynamics, and every industry affected due to the Covid-19 pandemic, especially the education sector
Our results revealed that technology factors such as EE and social influence (SI) directly impact users' reuse intentions while Performance Expectancy (PE) positively influences the users' reuse intentions through perceived satisfaction
First, this study confirmed that EE and SI are important factors of the UTAUT model that influence the users' reuse intentions toward Massive Open Online Courses (MOOCs)
Summary
The novel Coronavirus wave has changed the world dynamics, and every industry affected due to the Covid-19 pandemic, especially the education sector. 1.6 billion learners affected worldwide in which 9/10 students suffered due to quarantines and school shutdowns are still applicable Such consequences gained researchers' attention to review online learning methods and technology studies, providing valuable knowledge and covering this gap during the Covid-19 pandemic (Yee & Abdullah, 2021). MOOC (massive open online course) is the advanced and innovative online educational system developed over the past eight years (Huang et al, 2017) This system changed the teaching and learning practices at university and at school level and has a big revolution in academia in recent years. This research's main goals are the application of the technology and quality factors to understand and predict the user's perceived satisfaction and reuse intentions toward massive open online courses usage. This research reveals important theoretical contributions and provides guidelines to the instructional designers and instructors to develop effective strategies to make successful MOOCs learning through various online platforms. We concluded this research with theoretical and practical contributions, discuss the limitations and future research guidelines
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