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Record W1980774709 · doi:10.5539/ies.v6n9p31

EFL Learners' Listening Comprehension and Awareness of Metacognitive Strategies: How Are They Related?

2013· article· en· W1980774709 on OpenAlexvenueno aff
Ahmed F. Al-Alwan, Sahail M. Asassfeh, Yousef Al-Shboul

Bibliographic record

VenueInternational Education Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsMetacognitionPsychologyActive listeningListening comprehensionCognitionComprehensionMathematics educationReading comprehensionTest (biology)Reading (process)LinguisticsCommunication

Abstract

fetched live from OpenAlex

Metacognitive strategies play an important role in many cognitive activities related to language use in oral communication. This study explored metacognitve listening strategies awareness and its relationship with listening comprehension on a convient sample of 386 tenth-grade EFL learners using two instruments: (a) Metacognition Awareness Listening Questionnaire (MALQ) (Vandergrift, Goh, Mareschal, & Tafaghodtari, 2006) and (b) a Listening Comprehension Test (LCT) developed by the researchers for the purpose of this study. The results indicate that students' possess a moderate level of metacognitive listening strategies awareness. Additionally, whereas directed attention and personal knowledge fail to explain the variance in students' listening comprehension performance, problem solving, planning and evaluation, and directed attention are capable of explaining 56% of the variance in students’ performance on the LCT. It is recommended that metacognitive strategies awreness be emphasized in listening comprehension 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)0.000
metaresearch head score (Gemma)0.000
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 score0.297
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.082
GPT teacher head0.350
Teacher spread0.268 · 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

Citations54
Published2013
Admission routes1
Has abstractyes

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