ArticleFrontiers in artificial intelligence2022
An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy.
Article in Frontiers in artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Cultural and Technological Barriers to Telehealth Adoption for Type 2 Diabetes Management Among Asian American Patients: Qualitative Case Study.JMIR diabetes · 2026Article
- Psychological readiness and expectancy-based evaluations in IoT-adoption smart music classrooms.Frontiers in psychology · 2026Article
- Factors influencing user acceptance of virtual reality in preserving Wuhu iron painting from the unified theory of acceptance and use of technology perspective.Scientific reports · 2025Article
- Cross-Analysis of mHealth Social Acceptance Among Youth: A Comparative Study Between Japan and China.Behavioral sciences (Basel, Switzerland) · 2025Article
- Enhancing Student Learning Through the Application of First Principles of Instruction in a Blended E-Learning Approach.Advances in medical education and practice · 2025Article
- Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of Acceptance and Use of Technology Model.Frontiers in medicine · 2025Article
- The Influence of Multiple Factors on Musicology Doctoral Students' Academic Performance: An Empirical Study Based in China.Behavioral sciences (Basel, Switzerland) · 2024Article
- Article
- Article
- Evaluating customer perspectives on omnichannel shopping satisfaction in the fashion retail sector.Heliyon · 2024Article
- Article
- Surveying the Digital Competencies of Health Profession Educators at Ethiopian Higher Education Institutions.Ethiopian journal of health sciences · 2024Article
- Article
- Theory of radiologist interaction with instant messaging decision support tools: A sequential-explanatory study.PLOS digital health · 2024Article
- Article
- Investigating the intention of purchasing private pension scheme based on an integrated FBM-UTAUT model: The case of China.Frontiers in psychology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From a developing country perspective, this study explains the factors affecting online learning amidst the COVID-19 pandemic. The paper empirically tests the proposed extended unified theory of acceptance and use of technology (e-UTAUT) model in the students' intention and use behavior toward the online learning system. Understanding the acceptance of online learning technology is crucial, especially among developing countries caught off-guard by the abrupt transition of face-to-face classes to pure online learning. The enjoyment, interactivity, flexibility, and quality of online learning systems were added as antecedent variables to the UTAUT model. Eight hundred eighty valid responses from selected college students in the Visayas regions, Philippines, were collected. Structural equation modeling (SEM) was employed to verify the research hypotheses. The results supported the proposed model with acceptable fit measures and substantial explanatory power. The extended constructs provide different views on online learning based on the significant cluster of antecedents to explain technology acceptance through behavioral intentions and actual system usage. The paper implies that despite the challenges of connectivity in developing countries, the variations still conform with emerging literature about the topic. Insights for higher education institutions and policy directions are recommended.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.