An Evaluating Study on ESP Medical Textbook: Instructors and Learners’ Needs Analysis
Bibliographic record
Abstract
Textbook evaluation is determining the productivity and value of textbooks with respect to stated objectives, standards, or criteria. This study was an attempt to evaluate the ESP medical textbook, which is taught at some universities in Iran. To gather the necessary data, two researcher-made questionnaires and one interview protocol were used. Iranian Medical instructors and learners answered to a 28-item questionnaire to express their attitudes towards the content, exercises, and topics of their ESP course book. In addition, some members of both groups participated in an interview to gain in depth information about the study. They were both male and female. The findings revealed that the content and the topics of the ESP medical textbook are based on the learners and instructors’ needs. The results of this study have a number of implications for medical instructors, learners, and syllabus designers.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".