Assessing Managerial Staff Capacity Development in Southeast Vietnam's Primary Schools for Educational Reform
Bibliographic record
Abstract
This study examines the managerial staff capacity within primary schools in Vietnam’s Southeast Region in the context of the country’s ongoing educational reforms. Recognizing that effective leadership is essential for implementing the 2018 General Education Program, the research investigates five core competencies—cultural, administrative, pedagogical, social, and change management. Utilizing a mixed-methods approach involving surveys and interviews with 390 managerial staff and 90 education officials, the study reveals moderate competency levels across all dimensions, with strengths in compliance and internal communication, but weaknesses in strategic vision and external engagement. The findings confirm significant relationships between these competencies and education innovation outcomes, supporting the proposed conceptual model. The study contributes to the literature by integrating theoretical frameworks such as Schein’s organizational culture, Kotter’s change management, and instructional leadership to assess reform-readiness. Recommendations are offered for policy-makers and educators to design targeted professional development programs that enhance school leadership capacity and support sustainable educational transformation in rapidly changing urban environments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".