Critical Thinking as a Nourishing Interface to EFL Context in Higher Education
Bibliographic record
Abstract
As one of the renowned learning and innovation skills of 21st century, critical thinking (hereafter CT) has been studied in various fields of education. Contrary to expectations, the emphasis on the mutual link between CT and language learning in tertiary education is newly flourishing. That being the case, the awareness of English as a Foreign Language (hereafter EFL) learners regarding this close connection and how it affects their perceived language learning potential should be inquired and increased. Drawing on such need, this paper reports on the investigation of an action research implementation and its effects on the perceptions of EFL learners over a ten week period of CT integrated practice. Qualitative and quantitative analysis of the data collected through two CT tasks, open-ended questionnaires, and semi-structured interviews based on learners’ logs revealed an unequivocal influence on the perspectives of EFL learners towards CT and language learning. The implementation also helped the learners improve their thinking and language skills.
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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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".