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Record W2164143443 · doi:10.3329/dujl.v2i3.4144

Listening Skill At Tertiary Level: A Reflection

2010· article· en· W2164143443 on OpenAlexaff
Md Minhajul Abedin, Saiful Hassan Khan Majlish, Shorna Akter

Bibliographic record

VenueDhaka University Journal of Linguistics · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsLa Cité Collégiale
FundersUniversity of Dhaka
KeywordsActive listeningTertiary levelPsychologyPoint (geometry)Mathematics educationPedagogyMedical educationCommunicationMedicine

Abstract

fetched live from OpenAlex

This study focuses on the real scenario of listening skill of learners at the tertiary level in private universities in our country and through this attempt we have tried to find out the reasons of poor listening skills of the learners. At secondary and higher secondary level, where Communicative Language Teaching (CLT) is in practice, writing and speaking are given maximum importance. Since learners' listening skill is not assessed like other skills, it remains unattended through out their academic career. The scenario of poor listening skill of the learners continues with the same negligence even at the tertiary level. Giving importance to the development of this skill, the study has been done throughout questionnaire survey both from students' and teachers' point of view. The survey result has been analyzed and some suggestions are given regarding the matter. Key words: Listening Skill, Tertiary level, Private UniversitiesDOI: 10.3329/dujl.v2i3.4144 The Dhaka University Journal of Linguistics: Vol.2 No.3 February, 2009 Page: 69-90

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.233
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations34
Published2010
Admission routes1
Has abstractyes

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