Assessing the development of global competence in teacher education programmes: internal consistency and reliability of a set of rubrics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Global competence is a complex concept as it is multifaceted, composite, multi-layered, multidimensional, and can be viewed from several perspectives. A previous study validated a set of rubrics designed to assess pre-service teachers’ development of global competence. The research presented in this paper tested the internal consistency and reliability of the set of rubrics in order to create an instrument validated within the international context that was robust and consistent from a methodological point of view. The set of rubrics was self-administered online by 729 pre-service teachers studying in 12 teacher education programmes across 10 different countries around the world. The data analysis showed a high level of reliability and internal consistency of the rubrics, indicating their ability to assess pre-service teachers’ global competence. The exploratory and confirmatory factor analysis suggested changes to two areas of the rubrics.
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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 | 0.001 |
| 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 it