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Record W4281775972 · doi:10.1111/flan.12632

L2 listening: An intervention study of instructional approaches

2022· article· en· W4281775972 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

VenueForeign Language Annals · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsActive listeningPsychologyVocabularyIntervention (counseling)Session (web analytics)MetacognitionInformational listeningMathematics educationPedagogyListening comprehensionLinguisticsCognitionPsychotherapistComputer science

Abstract

fetched live from OpenAlex

Abstract This intervention study was conducted to assess the effects of three instructional approaches to L2 listening. That is, a metacognitive pedagogical cycle, an awareness‐raising approach which combined reflections and short discussions of factors associated with successful L2 listening, and an approach that incorporated vocabulary as a prelistening activity and guiding questions during the listening session. This study embraces the need for intervention studies that identify what works best. It addresses methodological flaws in previous studies and concerns associated with long‐term effects. L2 listening was measured before and after the intervention at pretest, posttest, and delayed posttest. The overarching research question was concerned with whether or not there are significant differences in L2 listening between and within the groups. The results indicate that guiding learners through a process that develops metacognitive knowledge and regulatory skills is an effective way of teaching listening. The results also offer preliminary evidence of long‐term effects.

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 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 score0.267
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.124
GPT teacher head0.306
Teacher spread0.182 · 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