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Record W6981043170

Development of English language skills in oral production by adult students in intensive and regular EFL courses

2010· article· en· W6981043170 on OpenAlexaboutno aff

Bibliographic record

VenueDipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) · 2010
Typearticle
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)Production (economics)English languageSecond languageFirst languageLanguage proficiency
DOInot available

Abstract

fetched live from OpenAlex

Time is undoubtedly an important factor in second language learning, not only in terms of the total amount of hours allotted for a particular program, but also in relation to how such hours are distributed. Research in Canada has shown that when primary school students receive concentrated second language (L2) instruction they reach higher levels of competence than through regular lessons. The purpose of this study is to shed some light on the effect of time distribution on instructed L2 learning by examining the development of oral production skills (in terms of oral fluency, complexity, and accuracy) in regular vs. intensive programs for adult EFL learners registered in intermediate and advanced EFL courses. The results of the analyses suggest that, although there are no statistically significant differences in oral gains between program types, there is a slight tendency for greater gains in the case of learners receiving intensive instruction.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
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 head0.002
GPT teacher head0.210
Teacher spread0.208 · 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 designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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