THE STUDENT STYLE QUESTIONNAIRE IN RELATION TO IMPROVED ACADEMIC SCORES IN KUWAITI MIDDLE-SCHOOL SCIENCE CLASSES
Bibliographic record
Abstract
Changes in learning theory have precipitated changes in the way in which students and the learning process in general are viewed. Research has underscored the differences in student characteristics, especially between students whose temperament styles have been accounted for, and traditional student groups. Research was conducted using a Student Style Questionnaire (SSQ) with middle-school Kuwaiti children to discover the connection between students' temperament styles and academic performance in a science class. Groups of middle-school students who had received low first quarter grades and were enrolled in an after-school tutoring program were studied, with half of the students in a traditional tutoring program and the other half in an SSQ temperament style tutoring program. The results of this study showed that the students in the experimental group (M= 48.99) whose SSQ temperament was applied to learning performed better overall for the academic year than did the students in the control group (M= 45.30). Gender, school type, and residential living area were all analyzed within the experimental group and showed no significant results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".