The role of green chemistry activities in fostering secondary school students' understanding of acid–base concepts and argumentation skills
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In a world where environmental degradation is taking on alarming levels, understanding, and acting to minimize, the individual environmental impact is an important goal for many science educators. In this study, a green chemistry curriculum—combining chemistry experiments with everyday, environmentally friendly substances with a student-centered approach that includes student–student discussion—was tested for its potential to increase the understanding of acid–base concepts and argumentative skills. A quasi-experimental design was chosen intended to take into account teacher/school nested effects. The study involved three classes of 150 16 year old Form Four students (1 experimental, <italic>N</italic> = 50; 2 control, <italic>N</italic> = 100) from two Schools A and B serving students from the same sociocultural and economic backgrounds taught by two teachers (Teacher A in School A taught 1 experimental and 1 control; Teacher B in School B taught 1 control). An ANCOVA with a pre-test as a covariate showed a statistically significant treatment effect as measured by an acid–base concept understanding test. Additionally, qualitative analysis of an Argumentation Skill Test (AST) shows that the experimental students used higher levels of argumentation skills following treatment than their peers in the two control classes. Implications are discussed for integrating green chemistry into the secondary school chemistry curriculum to teach the content on acid–base and green chemistry as a tool to assist the construction of arguments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it