Students’ and Teachers’ Awareness of and Attitude towards Environmental Pollution: A Multivariate Analysis Using Biographical Variables
Bibliographic record
Abstract
The purpose was through a multivariate analysis, to examine students’ and teachers’ environmental Awareness and Attitude in relation to selected biographical data. Participants were Grade 8 to Grade 12 students with ages ranging between 13 years and 23 years (M = 16.5 years, SD = 1.8) as well as their teachers with ages ranging between 23 and 57 (M = 40.6 years, SD = 9.8). All were from schools within a precinct of coal mines and electricity generating power stations; this being industry that characteristically releases large amounts of carbon dioxide into the air. The basis of this investigation was the researchers’ argument that it is important for students in their teenage years to know and be aware of environmental matters because they will grow to be conscious and responsible adults who will take care of their environment. The researchers therefore determined the participants’ biographical factors that had an effect on environmental Awareness and Attitude. An Awareness and Attitude scale comprising 24 - items on a 5 point Likert type format was administered to students and teachers in the first quarter of 2012. Among students, no gender effects were found however, significant effects with respect to age and Attitude, as well as grade level and Awareness were established. For teachers, on the other hand, no significant effects were established for all the biographical variables tested. More pleasing was that teachers had higher scores with respect to environmental Awareness and Attitude compared with their students. The researchers argue that these findings are important because it is the teachers who will hopefully pass the proverbial baton to their students, for them to embrace environmental issues in the air polluted area whence they reside.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 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 teacher head, 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".