The impact of direct experience on preservice teachers’ self-efficacy for teaching in inclusive classrooms
Bibliographic record
Abstract
With current inclusion trends, teacher educators are challenged to redesign their programmes to prepare preservice teachers to educate a wide range of students in whole-class settings. This quantitative study examined the impact of an inclusion course and a field experience on preservice teachers' self-efficacy for teaching in inclusive classrooms. Based on data collected from 141 participants, the results indicated that both the inclusion course and the field experience produced significant gains in self-efficacy. Participants with prior experience with people with exceptional needs had significantly higher levels of self-efficacy than those without prior experience; however, both groups experienced significant gains after the course and the field experience. Also, the results showed that, during the field experience, as preservice teachers spent more time with direct, individual instruction with students with exceptional needs, and less time with observation and whole-class instruction, their self-efficacy was more likely to increase. Findings were discussed, and implications for practice and future research were suggested.
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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 | 0.003 | 0.011 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".