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Record W3206232662 · doi:10.5539/elt.v14n11p30

Analysing the Writing Skill Self-Efficacy of Students at English and German Language Teaching Departments

2021· article· en· W3206232662 on OpenAlexvenueno aff
Bilal ÜSTÜN

Bibliographic record

VenueEnglish Language Teaching · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsGermanGrammarTurkishPsychologyEnglish languageScale (ratio)Set (abstract data type)Mathematics educationEnglish grammarPedagogyLinguisticsComputer science

Abstract

fetched live from OpenAlex

This study set out to examine the writing skill self-efficacy of students studying at English and German Language Teaching Departments in terms of various variables. Survey model, one of the quantitative research methods, was preferred. Participants who study at English and German Language Teaching Departments at a university in Turkey were the samples of the research. 103 students, in total, participated in the research, and 62.1% of them were female and 37.9% of them were males. As the data collection instruments in the research, “self-efficacy scale of writing skills for foreigners learning Turkish as a second language” and “personal information form” were used. The scale had two dimensions as “expression and morphological characteristics of writing” and “using grammar rules in writing”. As a result of the research, there were significant differences only in self-efficacy in using grammar rules dimension. In addition, female participants compared to males; participants studying German Language Teaching compared to English Language Teaching; and the fourth grade participants compared to the third grades were determined to have higher writing skill self-efficacy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.317
Teacher spread0.302 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2021
Admission routes1
Has abstractyes

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