Factors that make an impact on the English proficiency of students in Intermediate and advanced English II courses of the foreign Language Department of the University of El Salvador during semester I /2017
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
A Globalized world demands for a communication channel through which better opportunities are going to be available for ones who fit in its profile, the language that got on this position is English and in consequence the English proficiency, the ability in language use (Bachman, 1990) plays an important role for students who pretend to get in a better life style in this new order. Some factors are going to make a remarkable influence during the teaching learning process for students to get English as foreign language, the main one is motivation; Gardner (1985) motivation is seen as ‘referring to the extent to which the individual works or strives to learn the language because of a desire to do so and the satisfaction experienced in this activity. In similar way, Brown (1980) opines that attitude is the way that you think and feel about something; these together with other variable factors may affect or significantly contribute to language learning students´ process. Language-related extra-curricular activities in universities are an excellent tool to motivate language learners and help them by providing an additional milieu for language practice. Learners in Canada and Russia report a positive impact of ECAs on all the language skills, on building confidence, developing speaking and communication skills. The learners also find that ECA participation helps to overcome shyness and nervousness (Apples – Journal of Applied Language Studies Vol. 11, 1, 2017, 59).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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