Data · dataset · 2026
Adaptation and Validation of AI-Assisted English Academic Writing Scale for Mainland Chinese Undergraduates
Listed in ScienceDB
Description
This dataset comprises three separate Excel files collected from Mainland Chinese undergraduate students (non-English majors) regarding their use of generative AI tools for academic English writing:data for Demographic (N=545).xlsx : Contains demographic and background information of the participants in the main survey, including age, gender, English proficiency, previous English learning experience, and prior experience using generative AI for academic writing.data for Main survey (N=545).xlsx : Contains the main survey responses used for confirmatory factor analysis (CFA) and reliability assessment.
The data include participants’ responses to the adapted AI-assisted writing scale, covering four dimensions: Technical Support (TS), AI Ethics (AIE), Content Development—Lower Level (CDL), and Content Development—Higher Level (CDH).data for pilot EFA (N=144).xlsx : Contains pilot survey responses used for exploratory factor analysis (EFA). This subset of participants provided preliminary data to evaluate the factor structure of the adapted AI-assisted writing scale and to refine item wording and scale structure prior to the main survey.All datasets have been anonymized, and no personally identifiable information is included.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.35494 ↗
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
- Linguistics 73%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.35494 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4704 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| 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 | |
| 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 |