Using Simulated Parent-Teacher Talks to Assess and Improve Prospective Teachers’ Counseling Competence
Bibliographic record
Abstract
In research on parental involvement and teacher professionalization, counseling parents on the support of their children’s learning processes is considered to be an increasingly important competence area of teachers. However, to date little research has been conducted on the development of appropriate approaches to the assessment of teachers’ counseling competence. The current study describes the validation of a behavior-based instrument for the assessment of teachers’ counseling competence including counseling talk simulations with standardized parents as well as the examination of its suitability as an intervention for the improvement of participants’ counseling competence. The validation was carried out within the framework of a longitudinal quasi-experimental study with 51 prospective teachers. Multivariate repeated measures MANOVAs revealed the suitability of the counseling talk simulations both as an assessment instrument and an intervention. Results provide numerous implications for teacher preparation and continuing education, for example, the use of the counseling talk simulations as a didactical tool within the framework of teacher training programs.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".