GRIGORE PETRU-IULIAN's dataset contains responses from 408 Romanian in-service teachers on their readiness to adopt virtual reality in education. It includes 26 Likert-scale items measuring TAM and TPB constructs and demographic variables. The data were collected via a cross-sectional online survey and used for confirmatory factor analysis and structural equation modeling.
Use Cases
- Analyze relationships between perceived usefulness and behavioral intention to adopt VR based on the integrated TAM–TPB framework.
- Compare teacher readiness across demographic groups based on variables like teaching level, domain, and prior VR experience.
- Identify barriers and facilitators for VR adoption based on the analysis of three open-ended questions.
- Validate measurement models for constructs like perceived ease of use and subjective norm using confirmatory factor analysis.
Strengths
- Includes responses from 408 in-service teachers, providing a substantial sample size.
- Operationalizes seven theoretical constructs (PU, PEOU, ATU, BI, ATB, SN, PBC) with 26 Likert-scale items.
- Contains demographic and background variables such as gender, age group, teaching level, and prior VR experience.
- Supports multiple analytical methods, including CFA, SEM, and descriptive word frequency analysis of open-ended responses.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to its collection from Romanian teachers only.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Cross-sectional, self-administered online survey distributed via professional networks and teacher groups.
- Freshness
- Last updated 2026-05-26 12:16:09; freshness should be verified.
- Geography
- Romania