Investigating Mentor Teachers’ Roles in Mentoring Pre-Service Teachers’ Teaching Practicum: A Malaysian Study
Bibliographic record
Abstract
A teaching practicum is a course of study in which pre-service teachers get to experience actual teaching in real classrooms. Mentor teachers who are assigned to mentor and supervise pre-service teachers have many important roles to play in the practicum experience, yet no extensive research has been conducted on these roles. This study sought to determine the roles played by mentor teachers in pre-service teachers’ teaching practicum. Using an explanatory, sequential, mixed-methods research design pertaining to the Malaysian context, we recruited 385 pre-service teachers who had attended teaching practicum and 6 mentor teachers who had previously mentored pre-service teachers. Online questionnaires and telephone interviews were used sequentially. Findings showed that mentor teachers played moderate roles in mentoring pre-service teachers; mentor teachers perceived themselves to play many roles yet regarded certain roles as unnecessary and unimportant. Universities, secondary schools, and the Malaysian Ministry of Education must address the importance of producing quality teachers by intervening as early as pre-service teachers’ teaching practicum.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".