Toward an Understanding of University Students' Continued Intention to Use Moocs
When UTAUT Model Meets TTF Model
Bibliographic Data
| ID | 3363648 |
|---|---|
| Authors | Lei Wan (0000-0002-7076-6787), Liyong Wan (South Central Minzu University, corresponding author), Shoumei Xie, Xie Shoumei (South Central Minzu University), Ai Shu (0009-0002-5687-3727, Wuhan University) |
| Year | 2020 |
| Volume | 10 |
| Issue | 3 |
| Publication date | 2020-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2158244020941858 |
| OpenAlex | W3042422441 |
| Language | EN |
| Citations received | 22 |
| References cited | 50 |
This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students' continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students' continued usage intention of MOOCs. The implications and limitations of this study are also described
Expectancy theory · Human–computer interaction · Knowledge management · Social influence · Structural equation modeling · Unified theory of acceptance and use of technology · User satisfaction · Applied Psychology · Computer Science · Digital Marketing and Social Media · Engineering · Online Learning and Analytics · Psychology · Social Psychology · Technology Adoption and User Behaviour
Navigating the Learning Landscape
The Acceptance Behavior of Smart Home Health Care Services in South Korea
Understanding the Use of Digital Remembrance Communities
Understanding college students’ acceptance of machine translation in foreign language learning
The Impact of Massive Open Online Courses (Moocs) on Knowledge Management Using Integrated Innovation Diffusion Theory and the Technology Acceptance Model
Exploring the Acceptance of Large Language Models as an Integrated Reading Tool
Revealing the Role of Technostress in the Continuous Intention of Using Aigc Among Designers
Extending the unified theory of acceptance and use of technology to investigate determinants of acceptance and adoption of learning management systems in the post-pandemic era
The study on the influence factors of intention to continue using Moocs
Massive open online courses learners' continuance intention
An interplay among digital transformation, AI adoption and inclusive education
“Positive” or “Threatened”? The impact of the features in generative artificial intelligence on continued behavior
Exploring college students' risk perception and acceptance intention of facial recognition technology in China
Acceptance of clinical decision support systems in Saudi healthcare organisations
Reshaping the Language Learning Landscape
Factors Determining the Continuance Intention to Use Mobile English Learning Applications
Measuring the influence of FinTech innovation towards consumers’ attitude
Understanding University Students’ Acceptance and Use of Fragmented Academic Reading
Open and Collaborative Innovation for the Social Construction of Learning
Integrating TTF and UTAUT2 theories to investigate the adoption of augmented reality technology in education
More Than Just Numbers
The Moderating Role of Flow Experience on Mobile Commerce Continuance Intention
Multivariate data analysis
Learning in Moocs
Integrating TTF and UTAUT to explain mobile banking user adoption
Task-Technology Fit and Individual Performance
Understanding e-learning continuance intention
Learning Engagement and Persistence in Massive Open Online Courses (Moocs)
Continuance intention to use Moocs
Effect of expectation and disconfirmation on postexposure product evaluations
Examination of relationships among students' self-determination, technology acceptance, satisfaction, and continuance intention to use K-Moocs
Understanding Information Systems Continuance
User Acceptance of Information Technology
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
A Theoretical Extension of the Technology Acceptance Model
Factors that influence the perceived advantages and relevance of Facebook as a learning tool
Examining the impact mechanism of social psychological motivations on individuals’ continuance intention of Moocs
Significance tests and goodness of fit in the analysis of covariance structures
The Future of the University
Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan
| Unique citing works | 22 |
|---|---|
| Citations per year | 4,4 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 21 |