Ready Contents or Future Skills? A Comparative Study of Teacher Education in Thailand and Finland
Bibliographic record
Abstract
<p>This study aimed to analyze the recently updated teacher education programmes in two universities in Finland and Thailand. The article reports the characteristics of the elementary and secondary school teacher education studies in the selected universities, and discusses the roles and significance of 21<sup>st</sup> century skills and their modifications in these programmes. This kind of qualitative case comparison that focuses on modern skills and intercultural programmes is a new approach.</p><p>The methods were document analysis and questionnaire-based survey. Six teacher educators who had important roles in the recent programme updates, three from each university, were the survey informants.</p><p>The findings revealed that the policies and approaches to teacher education were different. While the Thai programmes focused more on courses, the Finns had a wider educational view. Second, research, skills and teaching practice were seen to be important, but the purposes were parted. Finally, as teachers’ professional development tools, those will need further studies.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".