A Content Analysis of the WH-Questions in the EFL Textbook of Horizons
Bibliographic record
Abstract
This study dealt with analysis of the study units in the textbook Horizons for 9th-grade students studying English in mixed ability classes. The study sought to examine the variety in the cognitive level represented by the WH-questions in the textbook according to Bloom's taxonomy. The study also attempted to examine the extent in which the WH-questions in the textbook emphasize high-level thinking, and whether the textbook aided students in developing cognitive skills.The study attempted to answer the following question:To what extent are the WH-questions in the six levels of the cognitive domain varied or frequent in the textbook of Horizons? Content analysis was conducted for the six study units in the textbook Horizons. The researcher chose the question as the unit for analysis for his research. The question is defined as a WH-question - in other words - a question beginning with a wh-word and ending with a question mark.The questions were collected, listed, and analyzed according to Bloom's Taxonomy: low order thinking skills: knowledge, comprehension, and application, and high order thinking skills: analysis, synthesis, and evaluation. The researcher then calculated the percentage and frequencies in which each level of cognition appeared for each separate unit and for all six units combined. The results indicated that the research tools used by the two analysts were valid and reliable. The results showed that 244 questions emphasized levels of cognition representing lower order thinking skills, while only 137 questions emphasized the three higher order thinking skills. The questions in the Horizons textbook place a great deal of emphasis upon comprehension, which is one of the lower order thinking skills. Additional studies are recommended in the area of content analysis of English instruction textbooks intended for various age levels in the Arab Sector. Such studies would shed light upon the role of textbooks in developing cognitive skills among Arab students.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".