Teaching L2 Learners How to Listen Does Make a Difference: An Empirical Study
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: QualitativeConsensus signal: Qualitative
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.241
- Threshold uncertainty score
- 1.000
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.287 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
This study investigated the effects of a metacognitive, process‐based approach to teaching second language (L2) listening over a semester. Participants ( N = 106) came from six intact sections of French as a second language (FSL) courses. The experimental group ( n = 59) listened to texts using a methodology that led learners through the metacognitive processes (prediction/planning, monitoring, evaluating, and problem solving) underlying successful L2 listening. The control group ( n = 47), taught by the same teacher, listened to the same texts the same number of times but without any guided attention to process. Development of metacognition about L2 listening, tracked using the Metacognitive Awareness Listening Questionnaire (MALQ), was measured at the beginning, middle, and end points of the study. As hypothesized, the experimental group significantly outperformed the control group on the final comprehension measure, after we controlled for initial differences. The hypothesis that the less skilled listeners in the experimental group would make greater gains than their more skilled peers was also verified. Transcript data from stimulated‐recall sessions provide further evidence of a growing learner awareness of the metacognitive processes underlying successful L2 listening, as MALQ student responses changed over the duration of the study.
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.
The record
- Venue
- Language Learning
- Topic
- EFL/ESL Teaching and Learning
- Field
- Arts and Humanities
- Canadian institutions
- University of Ottawa
- Funders
- Social Sciences and Humanities Research Council of Canada
- Keywords
- PsychologyMetacognitionActive listeningRecallListening comprehensionSecond languageControl (management)Cognitive psychologyComprehensionMathematics educationLinguisticsCognitionCommunicationComputer science
- Has abstract in OpenAlex
- yes