The Developing on Awareness of Water Resources Management of Grade 6 Students in Namphong Sub-Basin
Bibliographic record
Abstract
Awareness of water resources management is expression behavior as receive, response, valuing, and organization. Water resources is an important for everyone in the world and the recently water resources are be risky as lack of water, waste water, and blooding. The development on awareness of water resources management for grade 6 students is very important to solve immediately. The objectives of this research were to 1) compare grade 6 students’ awareness and comprehension of water resources management after developing 2) compare grade 6 student’s awareness and comprehension of water resources management after developing between irrigated area and non- irrigated area. The research was quasi-experimental design. The samples of control group were 31 students and 61 students were experimental group. Research instruments were the curriculum for developing awareness of water resources management, water resources management comprehension test, and assessment form for awareness of water resources management. Data analyzed were used descriptive statics for mean, standard deviation, and independent t-test used for comparing mean scores of pretest and posttest. The research found that the pretest and posttest of students’ awareness of water resources management and comprehension were significantly different at .05 levels. The compare mean between students’ awareness and comprehension in irrigated zone and non-irrigated zone were not significantly different at .05 levels.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".