From Governance to Classroom Impact: Multilevel Mechanisms of AI-Enabled Digital Instructional Innovation in Vietnamese Schools

1. Overview

This dataset provides multilevel data on digital instructional innovation in Vietnamese schools, capturing both school-level conditions and teacher-level practices.

2. Design

The data follow a cross-sectional multilevel structure with teachers nested within schools, enabling analysis of within-level, between-level, and cross-level relationships.

3. Variables

The dataset includes:

• School-level variables: governance, digital leadership, and resource conditions
• Teacher-level variables: digital competence, AI use, pedagogical innovation, instructional integration, and student outcomes

4. Measurement

All constructs are measured using 4-item, 7-point Likert scales. Composite variables are computed as mean scores and meet standard SEM reliability and validity thresholds.

5. Analytical use

The dataset is suitable for multilevel SEM, CFA, and research on AI in education, digital transformation, and educational leadership.

6. Ethics and license

The dataset is fully anonymized and released under the CC BY 4.0 license.