Teaching English Grammar with Special Reference to the Use of Prepositions at Al-Balqa Applied University
Why this work is in the frame
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Bibliographic record
Abstract
This study aims to investigate the teaching of English grammar with special reference to the use of prepositions at Al-Balqa Applied University, Jordan. The researcher has collected the data from a total of 120 students studying English at the four levels of BA English students. From each level, 30 students were selected to participate in this study. The data on English prepositions and other grammatical categories were analyzed by using a statistical model like SPSS version 16.0. The statistical analysis indicates that: (1) there is plenty of differences in the rate of committed errors by students at all levels. Furthermore, students face many problems in the use of English prepositions than the other grammatical categories. These problems are probably a result of the interference of their mother tongue (Arabic), and the lack of linguistic competence. (2) Errors of prepositions and other grammatical categories were not equally distributed within all levels of students. (3) The statistical analysis shows that prepositions are the most problematic grammatical item for students. Finally, the negative role of mother tongues influences in the learning of English prepositions and other grammatical categories noticed high. Some pedagogical implications have been given.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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