An Analysis of Language Teacher Education Programs: A Comparative Study of Turkey and Other European Countries
Bibliographic record
Abstract
The main aim of this study is to analyze and discuss the similarities and the differences between English language teacher educationial programs at universities in Turkey, and to identify the undergraduate students’ ideas about their current curriculum. In addition to this, the study aims to compare the education of English language teacher education in some countries in which English language proficiency scores are at the highest level in EF EPI (EF English Language Proficiency Index), and to suggest some important points to improve the language teacher educationial programs in Turkey. In the study, a document analysis and a semi-directed interviews with the 30 students in English language education departments in Turkey are implemented to provide valid and reliable results. The interview questions are based on students’ thoughts and ideas describing the sufficiency of their programs, and their goals and objectives. In the study, also, the course curricula of 15 English language teacher education programs are examined and compared. In this research, qualitative and quantitative methods are used. The study includes an international comparison of English language teacher education. With the comparison of the programs, some weak points of English language education programs in Turkey are determined. Besides, in the study, with the analysis of the English teacher education in 5 countries, the ways in which how they reached these targets are defined. At the end of the study, some suggestions are submitted to design and develop English language teacher education programs to produce more successful future teachers and English language education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".