Data · dataset · 2026
Generative AI Adoption, Academic Learning, and Research Capability among Public Health Students in Bangladesh: Survey Dataset
Listed in Teesside University Research Data Repository
This dataset contains primary survey data collected from public health students enrolled in public and private universities in Bangladesh.
Description
Data were collected through both online and physical survey methods from universities offering Public Health and related academic programs. The dataset examines Generative Artificial Intelligence (GenAI) adoption and its relationship with academic learning and research capability, while also considering AI literacy and AI dependency.
It includes demographic characteristics, GenAI usage patterns, and responses to validated construct items measured using a five-point Likert scale ranging from Strongly Disagree to Strongly Agree. The dataset contains 580 valid responses and is suitable for quantitative analysis, including Partial Least Squares Structural Equation Modeling (PLS-SEM).
Links
Where it is published
- DOI doi.org/10.17632/5yh2h77fkj.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/5yh2h77fkj.1 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4206 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Public Health'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |