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Record W1503301005

An Investigation into the Factors Affecting the Use of Language Learning Strategies by Persian EFL Learners.

2008· article· en· W1503301005 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLanguage learning strategiesPsychologyPersianMathematics educationLanguage proficiencyPreferenceMetacognitionLanguage acquisitionCognitive styleCognitionLinguisticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Abstract As part of a larger study (Rahimi, 2004), this study investigates the use of language learning strategies by post-secondary level Persian EFL learners. Particular attention is paid to the variables affecting learners’ choice of strategies, and the relationship, if any, between these variables and learners’ patterns of strategy use. Data were gathered from 196 low-, mid- and high proficiency learners using such instruments as the Strategy Inventory for Language Learning (SILL; Oxford, 1990), and two questionnaires of attitude and motivation (adapted from Laine, 1988) and learning style (Soloman and Felder, 2001). The results of the study point to proficiency level and motivation as major predictors of the use of language learning strategies among this group of learners. Gender, on the other hand, is not found to have any effect while years of language study appear to negatively predict strategy use. The difference between learners’ use of the SILL’s six major strategy categories is found to be significant and indicates learners’ preference for metacognitive strategies.

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.

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 categoriesScience and technology studies, Scholarly communication, Insufficient 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 score0.097
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.000
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 head0.332
GPT teacher head0.490
Teacher spread0.158 · 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