Effect of Instructions in Course Book Tasks on Promoting Higher-Order Thinking Skills
Bibliographic record
Abstract
As stakeholders of educational systems, teachers are urged to participate in social change through the implementation of critical thinking skills into the educational setting. English language teaching has primarily focused on critical thinking, particularly in the recent years. Therefore, teachers are required to examine their teaching materials to ensure that they meet the needs of the 21st century. This study investigates the extent of implemented higher-order thinking skills using revised Bloom’s taxonomy. It examines tasks in course books used at the College of Technological Studies at the Public Authority of Applied Education and Training in Kuwait. The course books examined are Tech Talk at the elementary, pre-intermediate, and intermediate levels. The findings of this study prove that most of the tasks in the sample chosen encourage students’ lower cognitive skills. Therefore, syllabus and material designers and teachers should include tasks that foster higher-order cognitive skills. The results are expected to serve as reference for direct language teachers when planning lessons in their course book adaptation and with curriculum development.  
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".