Towards a Better Investment of University Students in Light of the Twentieth Century Challenges
Bibliographic record
Abstract
Present study has been conducted with the purpose of impact of university skills training on students psycho-social and cognitive skills of males’ students in preparatory year deanship in university of Dammam in 2014/2015. The present study is quasi-experimental pre-post-test design was used with control group. The study sample was 150 subjects and randomly assigned into experimental and control group. The experimental group was trained four days. Findings of ANOVA, MANOVA and MANCOVA showed that the training program was positively and significantly effect on self-confidence, self-assertiveness, tolerance of responsibility and problem solving. Furthermore, the results also showed that students had a significant difference on self-assertiveness and self-awareness based on their study track. Thus, a comprehensive training program is needed in the field of university life to help students adjust and success.
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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 | 0.000 | 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".