Vietnam Digital Pedagogical Competence Dataset Based on the Analytic Hierarchy Process (VDPC Dataset 2025)

Vietnam Digital Pedagogical Competence Dataset (VDPC Dataset 2025)

1. Dataset Overview

The Vietnam Digital Pedagogical Competence Dataset (VDPC Dataset 2025) presents a structured dataset developed using the Analytic Hierarchy Process to represent expert judgments on digital teaching competencies in higher education. The dataset captures relative importance through systematic pairwise comparisons, ensuring internal coherence and methodological rigor.

A total of 34 pairwise comparison items were constructed, allowing for complete comparison matrices and reliable multi-criteria decision analysis.

2. Research Context

The dataset is situated within the Vietnamese higher education system, a context characterized by rapid digital transformation and increasing integration of educational technologies. The dataset reflects professional perspectives across key stakeholders involved in teaching, instructional design, and academic management.

Variation across roles was intentionally incorporated to represent differences in pedagogical priorities and decision-making orientations.

3. Research Purpose

The dataset was developed to support both methodological and applied research objectives:

To estimate priority weights of digital teaching competencies using AHP

To examine consistency in expert judgments

To enable comparison across stakeholder groups

To provide input for hybrid analytical approaches such as AHP–SEM–ANN

4. Conceptual Framework

The dataset follows a hierarchical structure with two levels.

4.1 Dimension Level

Five core dimensions are included:

Digital Pedagogical Design

Assessment Literacy with Digital Tools

Ethical and Responsible Use of Digital Tools

Data-informed Teaching

Student Agency Support

4.2 Sub-dimension Level

Each dimension is further decomposed into sub-dimensions representing specific competencies related to:

Instructional design practices

Digital assessment and feedback

Ethical and responsible technology use

Data utilization in teaching

Learner autonomy and engagement

5. Data Generation Process

The dataset was synthetically generated using a theory-driven approach grounded in the Analytic Hierarchy Process.

Latent priority structures were defined for each stakeholder group to reflect expected differences in professional perspectives. Individual responses were then generated using controlled variation around these latent profiles.

All values were mapped onto the Saaty scale, including both direct and reciprocal values. Each pairwise comparison matrix satisfies the properties of completeness and reciprocity, ensuring mathematical validity.

Group-level judgments can be aggregated using the geometric mean method, consistent with standard AHP procedures.

6. Sample Design

The dataset includes 30 experts distributed across three stakeholder groups:

15 faculty members involved in teaching activities

10 instructional designers specializing in digital pedagogy

5 educational managers responsible for leadership and policy

This composition supports comparative analysis across roles in the digital transformation of higher education.

7. Data Structure

The dataset is provided in Excel format.

Each row represents one respondent

Each column represents one pairwise comparison variable

Variables are labeled from Q1 to Q34

Additional variables include:

Respondent ID

Stakeholder group

All values follow the AHP scale, including both direct values (1–9) and reciprocal values (e.g., 1/3, 1/5).

8. Analytical Applications

The dataset supports a wide range of analytical procedures:

Calculation of priority weights using eigenvector methods

Consistency Index and Consistency Ratio assessment

Group-level aggregation and comparison

Integration with Structural Equation Modeling

Application in Artificial Neural Network models

This flexibility makes the dataset suitable for hybrid methodological research in education.

9. Ethical Considerations

The dataset was developed following institutional ethical guidelines. Participation was voluntary, and no personally identifiable information was included.

10. Suggested Citation

La Phuong Thuy, Kim Manh Tuan, Le Thi Thu Hien, Nguyen Chi Thanh, Nghiem Thi Thanh. (2025). Vietnam Digital Pedagogical Competence Dataset Based on the Analytic Hierarchy Process. Zenodo.

11. Keywords

Analytic Hierarchy Process, digital pedagogy, educational leadership, multi-criteria decision making, Vietnam higher education, digital competence framework