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Record W2152349018 · doi:10.5539/elt.v5n10p72

On the Effects of Focus on Form, Focus on Meaning, and Focus on Forms on Learners’ Vocabulary Learning in ESP Context

2012· article· en· W2152349018 on OpenAlexvenueno aff
Mahnaz Saeidi, Elaheh Zaferanieh, Hafez Shatery

Bibliographic record

VenueEnglish Language Teaching · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFocus on formVocabularyMeaning (existential)PsychologyFocus (optics)Focus groupTask (project management)Mathematics educationContext (archaeology)LinguisticsReading (process)Vocabulary developmentNegotiationTeaching methodGrammarSociologyManagement

Abstract

fetched live from OpenAlex

This study investigated the effectiveness of three kinds of vocabulary instruction. Seventy learners in the classes of English for Specific Purposes (ESP) were divided into three different groups receiving different instructions: Focus on Form Instruction (FoF) (Dictogloss task), Focus on Meaning Instruction (FoM) (Reading and Discussion task), and Focus on Forms (FoFs) Instruction (Word lists). The first two groups were experimental groups, and the last group was control group. The results of this research indicated that learners in FoF group achieved significantly higher scores than those in FoM and FoFs. Also, learners’ scores in FoM group were significantly higher than FoFs group. These findings were justified by main features of FoF tasks (dictogloss) including depth of processing hypothesis, discovery learning, pushed output, noticing hypothesis, awareness raising, negotiation, collaboration, and motivation.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
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 integrity0.0000.003
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 head0.011
GPT teacher head0.229
Teacher spread0.219 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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