Factors Affecting Instructional Leadership in Secondary Schools to Meet Vietnam’s General Education Innovation
Bibliographic record
Abstract
Currently, there is a huge demand for secondary school education worldwide especially in the developing countries such as Vietnam. School leadership is occupying a central position in educational reform. In order to meet this for the secondary school education, the Vietnamese government tries to develop effective school leadership in its education policy agenda. The aim of this study is to investigate the influence of factors on instructional leadership of principals in lower secondary education. The study was completed with 97 secondary public schools teachers and principals in the North of Vietnam. A quantitative research design was used to conduct this study. The data was analyzed through factors such as internal and external from the role of principal in instructional leadership. Research findings underline that instructional leadership is had directly by external such as “The degree of autonomy of the school for instructional activities”, “Awareness of the managers and teachers about leading teaching activities” and “education innovation” more internal such as “System of guiding documents of management levels on teaching activities”; “Conditions of facilities and finance for school teaching activities” and “Principal’s training level” Principals should recognize the change of the context and enhance the improvement of teachers’ shared responsibility and partnership in school decision making. Therefore, the Vietnamese government should make sure to have many positive issues that may have effective instructional leadership capacity in order to improve the culture of teaching and learning in Vietnames secondary schools.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".