Using Bloom’s Taxonomy to Evaluate the Cognitive Levels of Master Class Textbook’s Questions
Why this work is in the frame
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Bibliographic record
Abstract
This study aimed at evaluating the cognitive levels of the questions following the reading texts of Master Class textbook. A checklist based on Bloom’s Taxonomy was the instrument used to categorize the cognitive levels of these questions. The researchers used proper statistics to rank the cognitive levels of the comprehension questions. The results showed that the author of Master Class emphasized the cognitive level of Comprehension having 52% of the questions, which was much more than the expected frequency, while wrote only 3.7% and 6% of the questions on the cognitive levels of Knowledge and Application respectively. The frequency of questions on the cognitive levels of Evaluation and Analysis were much closer to the expected frequencies. The results indicated that about 40% of the textbook’s questions emphasized higher-order thinking skills, which goes with the requirements of the revised curriculum. Evaluating and choosing a good textbook that goes with the goals of the curriculum is recommended. Such a study would shed light upon the role of textbooks in developing cognitive skills among Arab students.
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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 | 0.003 | 0.002 |
| 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) | 0.000 | 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 it