Textbook Evaluation: EFL Teachers’ Perspectives on “Pacesetter Series”
Bibliographic record
Abstract
The present paper is an attempt to evaluate Pacesetter Series (Strange and Hall, 2005), an EFL course book series, in four levels of starter, elementary, pre-intermediate, and intermediate, being currently instructed at several language institutes in Iran. The purpose of this study is to determine the appropriateness of the series in Iranian EFL contexts. Litz (2000) questionnaire was exploited to examine the series thoroughly in all essential aspects. Sixty four EFL teachers rated the series. The results of descriptive statistics indicated that there is an overall consensus among the teachers that Pacesetter rightly addresses the needs of the learners in a communicative curriculum. However, two salient points are still worth further addressing. The first issue is that the series does not sufficiently underscore the speaking skill. The other concern involves the incorporation of European culture in every skill and skill-related activities as it may cause frustration and bafflement on the part of Iranian adolescent foreign language learners since they are unfamiliar with certain aspects of the target language culture. One way to remedy the two aforementioned issues is that the teachers using this series can think of other substitute exercises to solve the problem.
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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 | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".