Problems of Internship of Professional Experience in Teaching Mathematics
Bibliographic record
Abstract
The purposes of the research were (1) to study the problems of internship of teachers in teaching mathematics programs and (2) to compare the problems internship of teachers regarding the classes and educational level. Mixed method research was employed for the study. Quantitative data from 242 sample teachers and interview data from 12 teachers. The research instruments were a questionnaire and an interview form. The statistics used were percentage, mean, standard deviation and t-test. Results of the research were as follows. 1. The research findings showed that the average problem of the teachers about teaching Mathematics was the total and five domains at a moderate level. Whereas, assessment and evaluation at a low level. 2. The findings indicated that the problems of the teachers about teaching Mathematics regarding the secondary school teachers about teaching Mathematics was more than that of the primary school teachers at the .05 level of the statistical significance. Whereas, bachelor degree and post graduate degree was not different.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".