The practicum-mentor identity in the teacher education context
Bibliographic record
Abstract
This study describes the practicum-mentors’ identity in a teacher education context based on Dialogical Self Theory (DST) and the related ‘position’ and ‘I-position’ concepts. Participants were 48 Spanish and Canadian primary and secondary teachers who participated via an online written survey. The data were analysed using qualitative and quantitative procedures. Findings show a comprehensive description of nine types of positions and twenty types of I-positions. Based on these categories, three clusters of practicum-mentors, which represent three different ways of being a mentor, were identified: (1) a collaborative partner focused on student-teacher (ST) professional development, including the design, and teaching of ST skills acquisition; (2) a collaborative partner focused on design, teaching, and assessment of ST skills acquisition, and (3) a coaching partner focused on teaching and individualised ST learning. The findings can promote closer collaboration between universities and schools concerning the design of more relevant professional development for mentors based on the three identified ways of being a mentor.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".