Data · dataset · 2025
University Students Adoption of Online Education Platforms
Listed in ScienceDB
The study examines the factors influencing university students’ adoption of Online Education Platforms (OEP) in Bangladesh, applying an extended Technology Acceptance Model (TAM).
Description
A cross-sectional quantitative study was conducted with 700 public university students, yielding 535 valid responses, analyzed using Structural Equation Modeling (SEM) via SmartPLS software. The findings revealed that Perceived Ease of Use (PEOU) significantly impacts Perceived Usefulness (PU) and students' attitudes, indicating that ease of use enhances perceived usefulness.
PU and Social Influences (SI) positively affect students' attitudes toward adoption, underscoring the importance of perceived academic benefits and social support. However, Artificial Intelligence (AI) did not significantly affect attitudes, possibly due to limited awareness of AI-driven tools among students. This study offers both theoretical and practical implications.
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Theoretically, it extends TAM by incorporating SI and AI as additional factors. Practically, it suggests that educational institutions and platform developers prioritize user-friendly designs, highlight academic benefits, and leverage peer networks to foster adoption. As a cross-sectional study, future research should explore longitudinal effects, cross-cultural comparisons, and emerging technologies.
This study makes a significant contribution to the literature by validating the extended TAM in a developing country context, providing insights into the cultural and social dynamics affecting OEP adoption
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.30537 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Applied computing 74% · Longitudinal study 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.30537 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4601 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:computer-science-ai | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |