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Record W2601619627 · doi:10.5539/ies.v10n4p18

English Language Teaching within the New Educational Policy of Turkey: Views of Stakeholders

2017· article· en· W2601619627 on OpenAlexvenueno aff
Esim Gürsoy, Şule Korkmaz, Ebru Atak Damar

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsForeign languageEnglish as a foreign languageMathematics educationLanguage educationTeaching methodPsychologyEnglish languagePedagogyPolitical science

Abstract

fetched live from OpenAlex

Teaching English to young learners has gained speed in the past twenty years. Many countries in Europe are offering English at the primary level as advised by the EU. The efforts to lower the age for foreign language learning have echoed in countries in Asia as well. Turkey as one of these countries has changed its educational policy in 2012 and launched the new English Language Teaching Program for grades 2-8 in 2013. Along with many changes, the new system offers EFL in the second grade. The present study not only aims to investigate the views of prospective ELT teachers towards this change, but also to compare their views with those of trainers, and English teachers who were investigated in the earlier phases of the study. The results indicate that although all three groups of participants favor an earlier start in foreign language education, there are significant differences between groups in terms of the appropriate starting time and teaching methodologies used. Teachers were indecisive as they favored both the first and second tiers to introduce a foreign language. The results have implications for policy makers, teachers, teacher trainers, and prospective teachers.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.256
GPT teacher head0.564
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2017
Admission routes1
Has abstractyes

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