Characteristics of EFL Curriculum in the Colombian Caribbean Coast: The Case of 12 State Schools
Bibliographic record
Abstract
Research related to English as Foreign Language (EFL) curricula in Colombia is scant and mainly focuses on the analysis of policies and the challenges they pose to institutions. Consequently, there is a need for studies of EFL curricula in place in Colombia to serve as basis for evaluation and adjustment of current educational policies. This descriptive study follows a qualitative exploratory approach and addresses this gap by identifying the characteristics of the EFL curricula from twelve state schools. Data were reviewed and evaluated using document and comparative analysis techniques. Results reveal that all institutions have curricular documents but not all those requested by the educational authorities. Some of these documents show a lack of consistency in terms of the conceptual underpinnings as well as a misalignment with the national requirements or with contextual needs. While awareness of the importance of having strong English programs and the positive outlook shown by institutional stakeholders seem to be conditions for success, limitations related to allocation of resources, classroom conditions, and environments conducive to learning hinder the implementation of the EFL curriculum.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".