Competency-Based Curriculum (CBC) in Kuwait: from the Ideal to Real
Bibliographic record
Abstract
Following the steps of countries known for their rigorous education systems, and under the supervision and recommendations of the World Bank in 2015/2016, Kuwait placed a considerable budget to instigate a curriculum reform, via the implementation of Competence-Based Curriculum (CBC), which was adapted three years ago. However, the relatively modest outcome was controversial and did not meet the expectations of both policymakers and teachers. This study investigated the factors that hindered progression of CBC in the English curriculum as expressed by ESL teachers in the field. The study utilized a mixed-method design whereby both quantitative and qualitative data were used to fulfill the research objectives. Findings indicate that ESL teachers generally held positive views on CBC, yet several obstacles hindered CBC efficacy in the schools of Kuwait. The study also listed a number of pros and cons of CBC practice in Kuwait. Interviews with stakeholders brought a number of issues of misconduct, if not contained, no curriculum reform would gain the anticipated positive outcomes. Research objectives were addressed as a recommendation for future planning of curriculum change, contributing to the field of study.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".