Data · dataset · 2026
Data from: Associations Between Pre-service Teachers' AI Acceptance and Learning Engagement: Teacher Self-efficacy as a Mediator and Grade as a Moderator
Listed in ScienceDB
This dataset contains survey responses from 280 pre-service teachers at a university in Shanghai, China, collected from December 2025 to February 2026.
Description
The data include demographic information (grade level, teaching content area, AI course learning experience, perceived AI learning, and experience using AI tools for instructional design), as well as three validated instruments: the UTAUT2-based AI Acceptance Scale (31 items), the Utrecht Work Engagement Scale for Students (UWES-S, 17 items), and the Teachers' Sense of Efficacy Scale (TSES, 12 items).
All data were collected anonymously via an online questionnaire. The dataset is provided in SPSS (.sav) format, with an additional CSV version for broader compatibility.Variable names and coding schemes are documented within the SPSS file. No special software is required to open the CSV version; the SPSS file can be opened with IBM SPSS Statistics, PSPP (free), or R (using the haven package).
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.010mg ↗
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 73%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.010mg | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4601 | 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 | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |