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Record W1561194505 · doi:10.18806/tesl.v26i1.389

The Effects of Various Kinds of Form-Focused Instruction on Learners' Ability to Comprehend and Produce Polite Requests in English

2008· article· en· W1561194505 on OpenAlexvenueno aff
Masahiro Takimoto

Bibliographic record

VenueTESL Canada Journal · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPolitenessComprehensionPsychologyMathematics educationControl (management)Computer scienceLinguisticsArtificial intelligenceProgramming language

Abstract

fetched live from OpenAlex

This study involving 60 Japanese learners of English investigated the effects of various kinds of form-focused instruction on learners' ability to comprehend and produce polite requests in English. Each treatment group received one of the following: (a) deductive instruction; (b) inductive instruction with problem-solving tasks; or (c) inductive instruction with structured input tasks. These tasks all involved explicit input-based instruction and were intended to test for differences in deductive versus inductive treatments. Treatment group performance was compared with that of a control group on a range of input- and output-based pretests, posttests, and follow-up tests. The results indicate that the three treatment groups performed significantly better than the control group, suggesting that in this study explicit input-based instruction was effective both deductively and inductively for learners' comprehension and production of English polite requests. There was also some indication that inductive treatment may be superior in the longer term.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2008
Admission routes1
Has abstractyes

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