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Record W7117465495 · doi:10.14483/22486798.23312

Language Pedagogies in Colombian English Classrooms: A Systematic Review of Literature from Colombian Journals

2025· article· W7117465495 on OpenAlexaff
Jean Kaya, Alba del Carmen Olaya León, Pedro Felipe Ortega Prieto, Catalina Toro Mejía

Bibliographic record

VenueEnunciación · 2025
Typearticle
Language
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsVariety (cybernetics)English languageEnglish as a foreign languageLanguage educationForeign languageTeaching method

Abstract

fetched live from OpenAlex

Language education has historically been characterized by a continual search for more effective ways of teaching that support student learning. In this work, we investigated empirical evidence on language pedagogies integrated into Colombian PreK-11 English classrooms between 2010 and 2021. We systematically selected and analyzed 104 refereed articles, which we examined using an analytical framework informed mainly by Hall’s Method, methods and methodology (2016) and Thornbury’s 30 language teaching methods (2017). Our analysis showed that Colombian teachers of English as a foreign language employed a variety of language pedagogies and engaged in pedagogical practices which provided multiple opportunities for students to practice language. Teachers made substantial use of technological resources even before the constraints of the COVID-19 pandemic.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0300.024
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.290
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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