Assessment of the Efficacy of Creativity-Based Instructional Model on Scientific Attitude in Basic Science and Technology Among Pupils
Bibliographic record
Abstract
This study assessed the efficacy of creativity-based instructional model on scientific attitude in Basic science and technology among pupils. The study adopted the quasi-experimental design of non-equivalent control group. A sample of 244 pupils (135 males and 109 females) was drawn for the study using a multistage sampling procedure. The instruments used for data collection was the Scientific Attitude Assessment Scale (SAAS). Data collected were analyzed using mean to answer the research questions and Analysis of Covariance (ANCOVA) to test the null hypotheses at 0.05 level of significance. The findings of the study revealed that creativity-based instructional model significantly enhanced pupils’ scientific attitude. It was equally revealed that gender had no significant influence on pupils’ scientific attitude. Based on the findings and conclusions, it was recommended among others, that the use of Creativity-based Instructional Strategy should be encouraged and popularized among primary school teachers through workshops, conferences and seminars.
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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 | 0.003 | 0.007 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".