Bibliographic record
Abstract
The present study aims to compare the impact of mobile on increasing health information of students of Kharazmi and Allame Tabatabayi Universities in 2013.The study method is quasi-experimental with pre-test and posttest design by control and experiment group.This study is based on researcher-built test composed of 20 questions.160 students are selected by random cluster method.At first, by 20-item test, pre-test is performed.Then, the experiment group received training via mobile and control group received training by traditional method.Post-test is performed with the same questions.Finally, survey questionnaire is presented to experiment group.SPSS software, version 19, t-test and covariance analysis are used for data analysis.There is no significant difference between the mean of two groups in pre-test (experiment 7.57 and control 7.75) but there is a significant difference in posttest (experiment 17.56 and control 12.57).The training by traditional and mobile methods is effective on learning but training via mobile has high impact and the students are more interested in being trained by this method.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.969 | 0.990 |
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; both teacher heads agree on what is shown here.
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".