Encouraging Awareness among Secondary School Students on Air Pollution in Supporting Environmental Protection
Bibliographic record
Abstract
Understanding the vulnerability of our environment and the significance of its protection is known as environmental awareness. Promoting environmental awareness is a simple method to protect the environment and help shape a better future for our generation. The study's aim is to look at secondary school pupils' understanding of the environment. The research used a survey method with multiple-choice questions to examine secondary pupils' environmental awareness. Five secondary schools from Sekolah Menengah Kebangsaan Datuk Sulaiman in Batu Pahat, Johor, were used as a sample for this study. These samples were selected by the researches using simple random sampling technique. There are five questions that students need to answer correctly. The data were collected and analyses using Statistic Package for Science Sciences Software (SPSS V21.0). As a result, it shows a significant difference in frequency and percentage of students gets the correct answer in the post-test. Based on the result its show positive feedback of video-based learning from the students. Hence, education through Information and Communication Technology more effective and interesting than used traditional method.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".