Bibliographic record
Abstract
This study assessed the methods of teaching English course taught at the general diploma at the college of Graduate Studies in Education, Cairo University in light of English teachers’ needs and expectations. The Methodology course was reconstructed using the premises of students centered teaching techniques and taking into consideration what is identified by teachers as their basic needs to improve teachers’ linguistic skills and to allow teachers to get acquainted with recent teaching techniques that focus on enhancing the qualifications of the graduate students. The participants in the study were 50 English teachers who graduated from faculties of tongues and arts, English major. They were studying to get a general diploma in education. Some of them had different years of English teaching experience and others never taught in their life. Three instruments were implemented to elicit teachers’ needs from the methods of teaching English course: a pilot study to elicit teachers’ needs and expectations of the methodology course and a directed questionnaire that resulted in a number of suggested topics to be included in the methodology course. A pre and a posttest were administered before and after the implementation of the program to record changes in teachers’ knowledge and skills due to the application of the revised course. Teachers’ responses showed that the participants were dissatisfied with the topics and applications offered by the methods of teaching English course in its first form and suggested a number of topics and applications to be added to satisfy their future needs and expectations. The program was revised and reconstructed in light of teachers’ needs and it was taught for two semesters during the academic year 2014/ 2015. The results showed a noticeable improvement in teachers’ knowledge and skills, which were manifested in teachers’ responses to the posttest.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".