The Utility of the Metacognitive Awareness Inventory for Teachers among In-Service Teachers
Bibliographic record
Abstract
The purpose of the present study is to explore the utility of the compressed version of the Metacognitive Awareness Inventory for Teachers (MAIT-18) among in-service teachers. Knowledge of teachers’ awareness of metacognition is required to support students’ self-regulation, with the aim of establishing modern learning methods and life-long learning. The participants in this study were teachers (N = 208) from different sectors of vocational education. The data has been analysed using structural equation modelling. The Confirmatory Factor Analysis indicated good/acceptable model fit and convergence of each factor. Moreover, alpha scores of the inventory signify that the inventory is internally consistent. These findings reveal the utility of the MAIT-18 in measuring the Metacognitive Awareness of in-service teachers. Now, that the utility of the inventory has been examined among in-service teachers, comparative studies between in-service teachers and teacher trainees as well as longitudinal studies are prospective.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".