The Effectiveness of an Instructional Program Based on Sociolinguistic Principles in improving Jordanian Tenth Grade EFL Female Students’ Attitudes Towards Acquiring English Culture
Bibliographic record
Abstract
The current study aimed at investigating the effectiveness of an instructional program based on sociolinguistic principles in improving tenth-grade EFL female students’ attitudes towards acquiring English culture in Jordan during the academic year 2021-2022. The study followed the quasi-experimental approach. Fifty tenth-grade female students participated in this study distributed into two sections. The two sections were randomly chosen; one section (n=25) was assigned to represent the experimental group, while the other section (n=25) was assigned to represent the control group. A four-item Likert attitudes scale, that covered three dimensions regarding the students’ attitudes towards acquiring English culture, was also developed to be presented before and after the treatment to both the experimental and control groups. Data were analyzed using (SPSS) package (i.e., means and standard deviations, ANCOVA and MANCOVA). The results showed that the instructional program based on sociolinguistic principles was significantly more effective than the conventional method in developing Jordanian tenth-grade EFL female students’ attitudes towards acquiring English culture. The study recommended that EFL curricula planners may emphasize the sociolinguistic principles in developing teachers’ manuals and students’ teaching materials to promote EFL students’ attitudes towards acquiring English culture in Jordan.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".