MétaCan
Menu
Back to cohort
Record W2166451711 · doi:10.5539/elt.v7n10p69

The Effect of Metadiscourse Instruction on Iranian EFL Learners’ Speaking Ability

2014· article· en· W2166451711 on OpenAlexvenueno aff
Touran Ahour, Saeideh Entezari Maleki

Bibliographic record

VenueEnglish Language Teaching · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsMetadiscoursePsychologyLinguisticsMathematics education

Abstract

fetched live from OpenAlex

This study attempted to unveil the effect of metadiscourse instruction on the improvement of the speaking ability of Iranian EFL learners. After the administration of a language proficiency test, 34 homogeneous participants were assigned into the experimental and control groups. Then, the two groups were compared on their speaking ability. After the homogeneity of the participants was confirmed, both groups underwent 4 sessions of instruction. The experimental group received metadiscourse instruction, while the control group received no instruction. At the end of the treatment, both groups took part in the speaking posttest. The results indicated that the speaking performance of the experimental group was significantly higher than the control group. In addition, the comparison of the pretest and posttest of the experimental group proved an improvement in their speaking ability; while the same comparison in the control group didn’t suggest any improvement. Therefore, teachers can benefit from metadiscourse instruction to enhance the speaking ability of their students.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.246
Teacher spread0.238 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language TeachingSame topicEFL/ESL Teaching and LearningFrench-language works237,207