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Record W2088605763 · doi:10.5539/elt.v5n7p64

Textbook Evaluation: EFL Teachers’ Perspectives on “Pacesetter Series”

2012· article· en· W2088605763 on OpenAlexvenueno aff
Minoo Alemi, Nikan Sadehvandi

Bibliographic record

VenueEnglish Language Teaching · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyForeign languageMathematics educationSeries (stratigraphy)CurriculumSalientPedagogyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.025
GPT teacher head0.282
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2012
Admission routes1
Has abstractyes

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