MétaCan
Menu
Back to cohort
Record W2093717189 · doi:10.5539/elt.v4n2p180

The Effect of Form versus Meaning-Focused Tasks on the Development of Collocations among Iranian Intermediate EFL Learners

2011· article· en· W2093717189 on OpenAlexvenueno aff
Reza Pishghadam, Ebrahim Khodadady, Naeemeh Daliry Rad

Bibliographic record

VenueEnglish Language Teaching · 2011
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsCollocation (remote sensing)Meaning (existential)PsychologyVocabularyFocus on formTask (project management)Reading comprehensionTest (biology)ComprehensionReading (process)LinguisticsMathematics educationLanguage proficiencyGrammarComputer science

Abstract

fetched live from OpenAlex

This study attempts comprehensively to investigate the effect of form versus meaning-focused tasks on the development of collocations among Iranian Intermediate EFL learners. To this end, 65 students of Mashhad High schools in Iran were selected as the participants. A general language proficiency test of Nelson (book 2, Intermediate 200A) was used to measure their general language ability. Moreover, a teacher-made collocation test was implemented to examine the participants’ collocation knowledge. Participants were divided into: form-focused instruction group (FFI), meaning-focused instruction (MFI) group, and a control group. The FFI group performed dictogloss task (DT) which focused on both target items and meaning. The MFI group assigned communicative task (pair /group discussion task) which did not required attention to the target items. The control group is designated as the Conventional Group, simply to reflect the fact that they did not receive focus-on-form instruction but rather received combination of explaining collocation or new vocabulary and reading a text silently to mention its main idea or answer to comprehension questions. The results revealed the fact that FFI group (dictogloss task) significantly outperformed the other two groups on the collocation test.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.119
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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

Citations8
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language TeachingSame topicSecond Language Acquisition and LearningFrench-language works237,207