Effects of Student Teams-Achievement Divisions Cooperative Learning with Models on Students’ Understanding of Electrochemical Cells
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
<p class="apa">The aim of this study was to determine the effect of Student Teams-Achievement Divisions cooperative learning with models on academic achievements of undergraduate university students attending classes in which the electrochemical cells. The sample of research was comprised of 70 students from first class of science teacher education program during the academic year 2014-2015. The data obtained by the Electrochemistry Achievement Test (EcAT). The study was carried out in three different groups. The research groups were randomly assigned as the cooperative learning with models group (CLMG), the cooperative learning group (CLG), and the control group (CG). The data obtained by the instrument was evaluated through descriptive statistics, one–way ANOVA, and ANCOVA. The results indicated that teaching electrochemical cells via STAD with Model method was more effective than the traditional teaching method and only STAD in increasing academic achievement. In addition, according to the EcAT results, students’ high levels of misunderstanding show that there are indicative of some deficiencies in teaching of the electrochemical cells in the molecular level.</p>
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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