Accounting for the Response-Shift: Pre-Service Teacher-Efficacy Development in Immersive Learning
Bibliographic record
Abstract
This article compares the changes in efficacy of pre-service teachers in an immersive learning practicum and in a traditional practicum. It does not assume that pre-service teachers take the same pattern of development as inservice teachers because of the restructuring that must occur in an educational setting. The first study followed the development of 159 preservice teachers and found a significant interaction between the two groups across time in terms of teacher efficacy. The immersive group's efficacy increased significantly more than the control group. The second study assessed the response-shift of pre-service teachers between their pretests and their retrospective pretests. As hypothesized, the difference between the pretest and the retrospective pretest was greater for the immersive group compared to the control group, indicating the power that immersive experiences has to recalibrate the concept of teacher-efficacy. Implications for pre-service teacher education are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".