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Record W1544358399 · doi:10.19173/irrodl.v8i3.383

Same Size Doesn't Fit All: Insights from research on listening skills at the University of the South Pacific (USP)

2007· article· en· W1544358399 on OpenAlexvenueno aff
Rajni Chand

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningPsychologyMathematics educationPerceptionQualitative researchPedagogyEducational technologySociology

Abstract

fetched live from OpenAlex

Listening skills research has tended to focus on strategy use in classrooms and on theory and practice of second language (L2) teachers. This study examined the teachers’ and learners’ perceptions of listening skills in non-classroom learning situations. Five (n = 5) study skills teachers and 19 former learners in a distance study skills course at the University of the South Pacific (USP) were interviewed for this study. The interviews with the study skills teachers sought their expectations of their learners’ listening strategies, their views about the learners they taught, and the skills their learners used for listening. Former learners were similarly questioned about their perceptions of listening strategies they were taught and used. Data was collected and managed using NVivo, a computer assisted qualitative data analysis software. Besides revealing strategies that distance learners reported using their learning listening skills, the study identified a number of differences in views presented by researchers and L2 teachers, as well as differences in perceptions on listening skills between L2 teachers and L2 learners. The paper concludes that there exists a discrepancy between research and the practice of researchers, L2 teachers, and L2 learners on what works. The author also recommends further research in this area is needed, because research examining classroom-based learning situations will likely not apply to, nor fully inform, distance learning contexts.

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)0.010
metaresearch head score (Gemma)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.128
GPT teacher head0.403
Teacher spread0.275 · 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 designNot applicable
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

Citations10
Published2007
Admission routes1
Has abstractyes

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