Data · dataset · 2026
Questionnaire Dataset on Factors Influencing the Effectiveness of Music Education in Higher Education under Digital Transformation
Listed in ScienceDB
This dataset was developed for a questionnaire-based empirical study on the factors influencing the effectiveness of music education in higher education under the background of digital transformation.
Description
The dataset is designed to support the analysis of relationships among digital infrastructure, digital resource quality, teacher digital competence, student engagement, and music education effectiveness. Data were collected through an anonymous questionnaire survey involving students and instructors in higher education music education contexts.The dataset includes variables related to respondents’ basic information, perceptions of the digital learning environment, experiences with digital educational resources, evaluations of teachers’ digital teaching competence, levels of student engagement, and perceived music education effectiveness.
It can be used for reliability and validity testing, structural equation modeling, mediation analysis, multiple regression analysis, and related research in digital education, music education, higher education, and educational effectiveness evaluation. All data have been anonymized and do not contain names, contact information, identification numbers, or other personally identifiable information.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.38305 ↗
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
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Specialist studies in education 73%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.38305 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3904 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| 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 |