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Predicting Behavioral Intention to Use E-Learning System: A Case-Study in Begum Rokeya University, Rangpur, Bangladesh
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- Author(s): Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea (ORCID
Keikhosrokiani, Pantea (ORCID 0000-0003-4705-2732 )- Language:
English- Source:
Education and Information Technologies. Mar 2022 27(2):2241-2265.- Publication Date:
2022- Document Type:
Journal Articles
Reports - Research
Tests/Questionnaires - Language:
- Additional Information
- Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: [email protected]; Web site: https://link.springer.com/
- Peer Reviewed: Y
- Source: 25
- Education Level: Higher Education
Postsecondary Education - Subject Terms:
- Subject Terms:
- Accession Number: 10.1007/s10639-021-10707-9
- ISSN: 1360-2357
- Abstract: Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh. The study used quantitative approach and developed a research model based on several technological acceptance models. In order to test the model, a survey was conducted to obtain data from 262 university students. SEM-PLS, a multivariate statistical analysis technique, was used to analyze the responses to examine the model, factors, structural relationships, and hypotheses. The result shows that 'perceived usefulness' and 'perceived ease of use' positively and significantly influenced by 'perceived enjoyment'. Furthermore, 'perceived usefulness', 'perceived ease of use' and 'facilitating condition' have a significant impact to predict behavioral intention to use e-learning. The results of mediation analysis show that 'perceived usefulness' and 'perceived ease of use' have mediating effects between the predictors and the outcome. Finally, 'facilitating condition' have a remarkable moderating effect to predict the student's behavioral intention in using e-learning. The findings have a noteworthy empirical implication for educational institutions to introduce e-learning system as one of the teaching and learning tools.
- Abstract: As Provided
- Publication Date: 2022
- Accession Number: EJ1329392
- Availability:
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