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Record W2748518474 · doi:10.5430/ijhe.v6n4p229

The Relationship between Ideal L2 Self and Willingness to Communicate Inside the Classroom

2017· article· en· W2748518474 on OpenAlexvenueno aff
Nihan Bursalı, Hüseyin Öz

Bibliographic record

VenueInternational Journal of Higher Education · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsWillingness to communicateIdeal (ethics)Foreign languagePsychologyScale (ratio)Mathematics educationDescriptive statisticsCurriculumEnglish as a foreign languageSocial psychologyPedagogyMathematicsPolitical science

Abstract

fetched live from OpenAlex

Over the past decades there has been a dramatic increase in academic research on motivation to learn a second or foreign language (L2). The present study tried to investigate the relationship between the ideal L2 self as a motivational variable and willingness to communicate in English (L2 WTC) inside the classroom. Participants were 56 university students majoring in English as a foreign language (EFL) at a private university in Ankara, Turkey. Data were collected using the Ideal L2 Self Scale and Willingness to Communicate inside the Classroom Scale. Findings of descriptive statistics indicated that 32.1% of the participants had high L2 WTC inside the classroom, 30.4% had moderate L2 WTC inside the classroom, and 37.5% had low L2 WTC inside the classroom. Findings also revealed a significant relationship between these two constructs noticing the relations at a skills specific level. The implications are discussed to present ideas to language teachers, teacher trainers, and curriculum designers to raise their awareness on the impact of ideal L2 self on willingness to communicate.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
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 head0.088
GPT teacher head0.368
Teacher spread0.281 · 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 designObservational
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

Citations31
Published2017
Admission routes1
Has abstractyes

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