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Record W2328218810 · doi:10.5539/ijel.v6n1p110

Iranian EFL Teachers’ Attitudes towards Critical Pedagogy

2016· article· en· W2328218810 on OpenAlexvenueno aff
Nazanin Kamali Sarvestani, Mortaza Yamini

Bibliographic record

VenueInternational Journal of English Linguistics · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaPsychologyLikert scaleInjusticeMathematics educationScale (ratio)ValidityPedagogyReliability (semiconductor)Social psychologyPsychometrics

Abstract

fetched live from OpenAlex

<p>Critical pedagogy (CP) is a new educational approach that aims to remove social and political injustice and tries to help learners question and challenge oppression. This approach that derives its interest from critical theory has entered the field of research in recent years. In line with this trend, the present study aimed at investigating Iranian EFL teachers’ attitudes towards the application of critical pedagogy, taking into account teachers’ teaching experience and academic background. To this end, a Likert scale questionnaire developed by Tabatabaei (2013) was administered to 99 Iranian EFL teachers teaching at different institutes in Shiraz. The reliability and validity of the questionnaire were recalculated. As far as the validity of the scale was concerned, it was established through factor analysis and the reliability of the questionnaire was checked through Cronbach’s alpha. Statistical procedures, namely, descriptive statistics, independent samples <em>t-</em>test, and two-way ANOVA were applied. The findings of the study revealed that the EFL teachers mostly agree with the application of critical pedagogy. No significant difference was found between novice and experienced teachers' attitudes towards the principles of critical pedagogy. Furthermore, the results indicated that there was no significant relationship between teacher's academic experience and their views regarding critical pedagogy. However, as their teaching experience increased, they developed positive attitudes towards CP.</p>

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)0.297
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.297
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.429
Teacher spread0.386 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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