Development of Communication Competence in Pre-Service Vocational Education Teacher Training
Bibliographic record
Abstract
This paper presents a seminar concept for the development of communication competence in pre-service vocational education teachers with the aid of video annotations, feedback, and peer microteaching. The seminar is offered within a teacher training program for students taking a master’s degree (MEd) in vocational education at the FH Münster University of Applied Sciences, Germany, and has been conducted three times. The advantages of the seminar concept are manifold. On the one hand, we create a learning environment in which students individually prepare and conduct five peer microteaching lessons in a row and receive prompt and constructive peer feedback on every performance. On the other hand, the quality of feedback improves so that our students are professional feedback providers by the end of the seminar. The provision of teacher feedback alone does not help our students become successful feedback providers. Nor, given the resources available at the university, is it a realistic alternative in terms of time constraints. In addition, due to recordings, the students gain a better insight into their teaching skills since their lessons can be observed and approached from an outside perspective.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".