A Comparative Study on the Education of Prospective Principals in Australia and Canada
Bibliographic record
Abstract
Objectives This study attempted to find implications for qualification training for secondary school principals in Korea by examining specific examples of education systems and contents for fostering principals in Australia and Canada. Methods The research method is a comparative study through literature analysis, and for this purpose, in the case of Korea, the principal qualification training curriculum of the Korea Teachers’ University’s General Training Institute was analyzed along with related laws. Australia and Canada investigated documents related to the training of principals by the Federal and State Departments of Education, and analyzed the leadership course at Monash University and the principal qualification program at University of Toronto as examples. Results Australia presents principal professional standards and principal training curriculum design guides at the national level, and the state desings education to foster new principals based on this, and the operating institutions(university, etc) refer to them to operate the curriculum. Choice subjects vary depending on the learner’s previous experience and deal with macro-level leadership. Canada does not have a unified principal professional standard at the federal level, but individual states establish a theoretical system and develop a standardized curriculum to operate the same course in all educational institutes. The same five modules are divided into two parts, theory-centered and practice-centered, and repeatedly deepened. Conclusions Through principal training in Australia and Canada, implications such as the development of a theoretical system that can be the basis for principal qualification training, selective education based on learner context, research on future-oriented education and principal training system and content were found.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".