Analyzing the Effects of Iranian EFL Textbooks on Developing Learners’ Life Skills
Bibliographic record
Abstract
Education is not an end, but a means to an end. The ultimate goal of education is to prepare students for their future life. Regarding this fact, English language classes and textbooks can be used as tools for improving learners’ life skills. Meanwhile, informative textbooks with rich socio-cultural constructs that foster learners’ life skills are needed. To assess the range of the Iranian EFL textbooks richness in these aspects, a life skills questionnaire was distributed among ELT teachers (N=73) and EFL learners (N=1112) almost all over Iran. The results originated from data analysis showed that Iranian EFL textbooks don’t improve the EFL learners’ essential life skills considerably especially leadership life skills, critical thinking life skills, and decision making/problem solving life skills. The findings of this research and the designed life skills questionnaire can be used by educational policy makers, syllabus designers, materials developers, researchers, teachers, etc. to examine and analyze the socio-cultural constructs of Iranian EFL textbooks for considering in the processes of publishing new EFL textbooks for the Islamic-Iranian society of Iran.
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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 | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 | 0.000 |
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".