The Effect of A Training Program in Improving First Classes Teachers Skills in Dealing with Special Needs Students in Regular Classroom in Amman
Bibliographic record
Abstract
The purpose of this study is to investigate the effect of a training program in improving first classes female teachers’ skills in dealing with special needs students in regular classroom among a sample of private schools female teachers in Amman. The study adopted the quasi-experimental approach based on two equivalent groups, as the sample consisted of (30) teachers distributed into two groups; an experimental group (n=15), a control group (n=15). To achieve the aim of the study, a scale to measure the level of teachers skills was developed consisting of (23) items administrated on the sample before and after the program which contained of (6) training sessions. The findings showed that the training program was effective in developing teachers’ skills in dealing with special needs students, as the means of the experimental group developed on all sub-domains and the total degree of the scale. The findings showed that the post-performance of the control group was (2.11), meanwhile, it was for the experimental group (3.46), this indicates a difference in the performance of both groups. Moreover, the findings showed that there were no significant statistical differences in the extent of benefiting of the program according to years of experience and scientific qualifications variables. The study recommended the need to re-apply the program on other samples in other schools teaching special needs students.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".