Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh
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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.
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This is a significant theoretical advance over earlier ISSM and TTF investigations, which did not examine the impact of perceived usability, perceived usefulness, system use, and task-technology fit on the applied ethical aim.
“This is a significant theoretical advance over earlier ISSM and TTF investigations, which did not examine the impact of perceived usability, perceived usefulness, system use, and task-technology fit on the applied ethical aim [85,107,108].”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [107]
Perceived usefulness has a direct positive influence on behavioral intention.
“Empirical research consistently demonstrates PU's direct positive influence on behavioral intention (BI).”
From From Perception to Practice: Artificial Intelligence as a Pathway to Enhancing Digital Literacy in Higher Education Teaching (2025) · cites this paper as [25]
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- Authors
- Humida, T., Al Mamun, M. H., & Keikhosrokiani, P.
- Affiliations
- Begum Rokeya University (BD)
- Universiti Sains Malaysia (MY)
- Corresponding author
- Humida, Thasnim
- Keikhosrokiani, Pantea
- Venue
- Education and Information Technologies
- Published
- 2021-08-14
- Volume
- 27
- Issue
- 2
- Pages
- 2241-2265
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- PMC
- PMC8364304
- OpenAlex
- W3195725675
- Cited by
- 133
- References
- 59
- Citations by year
- 2026: 15 · 2025: 35 · 2024: 37 · 2023: 28 · 2022: 17 · 2021: 1
- FWCI
- 17.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Education and Information Technologies (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Universiti Sains Malaysia (304/PKOMP/6315435)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Technology-Enhanced Education Studies
- Social Sciences › Education › Online and Blended Learning
- Keywords
- e-learning adoption, behavioral intention, university students, perceived usefulness, perceived ease of use, perceived enjoyment, facilitating conditions, technology acceptance model, digitalization of education
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