The Effect of Interactive Drills Using Dry Lab on the Acquisition of Laboratory Skills in Learning Science Among the Ninth-Grade Female Students in Palestine in Light of Their Thinking Style
Bibliographic record
Abstract
The study aimed to identify the effect of the interactive drills using the dry laboratory on the acquisition of scientific concepts and laboratory skills in science among the ninth-grade female students in Palestine in light of their thinking styles. The study used quizzes of experimental method. The sample consisted of 68 female students distributed on two groups: an experimental group (n = 34 students) and a control group (n = 34 students). In order to achieve the objectives of the study, test of laboratory skills and thinking styles tests were used. The results showed that there were statistically significant differences between the means of the experimental group that was studied using the interactive method of the dry laboratory and the control group that studied using the traditional method via laboratory skills tests in favor of the experimental group. The results also revealed that there was an interaction between the method of teaching (the interactive drills using dry laboratory and the traditional method) and thinking styles on the acquisition of laboratory skills. In light of these results, several recommendations were suggested.
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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 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".