The Use of Supplementary Materials in English Foreign Language Classes in Ecuadorian Secondary Schools
Bibliographic record
Abstract
This mixed-methods study investigated the use of supplementary materials by EFL teachers in Ecuadorian secondary schools. Via the use of teacher interviews (n=12) it was found that teachers believe the use of supplementary materials increases the motivation of the students, which in-turn improves the learning possibilities of the students. The quantitative sample (n=695) showed the students’ preferences for supplementary materials and confirmed our results that the use of certain supplementary materials does in fact increase the motivation, understanding and participation of the students in their English language classes. Four variables were considered to do this research; motivation of students when any material was used, whether students’ participation increased or not when using supplementary material, the third one focused on whether the students felt as though their understanding had increased in class as a result of the use of the material. The final variable aimed to measure whether the student felt their performance in class had improved as a result of the use of the material in question. The results showed that more dynamic and interactive classes are created when teachers use any supplementary material.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".