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Record W2067697031 · doi:10.5539/elt.v3n4p100

The Application of Humorous Song in EFL Classrooms and Its Effects on Listening Comprehension

2010· article· en· W2067697031 on OpenAlexvenueno aff
Marzieh Rafiee, Zohre Kassaian, Hossein Vahid Dastjerdi

Bibliographic record

VenueEnglish Language Teaching · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyListening comprehensionActive listeningCreativityRecallComprehensionTest (biology)Class (philosophy)Stress (linguistics)LinguisticsMathematics educationCognitive psychologySocial psychologyCommunicationComputer science

Abstract

fetched live from OpenAlex

Language learners need to feel secure and to be free of stress so they can focus on language tasks (Ellis, 1994). A language teacher should use different tools to encourage students and make them involved in learning process. Humor and song are effective tools, as they develop creativity and make the class environment an appropriate setting for language learning. This paper examines the effects that humorous songs may have on listening comprehension and on immediate and delayed recall by a group of EFL learners. To achieve this aim, an experimental research study was conducted in Iranian English Institutes. A pre-post design was applied to explore whether humorous songs could enhance listening comprehension in EFL learners. The findings show that the experimental group outperformed the control group in a listening comprehension test, but humorous songs' effect does not make much difference between immediate and delayed recall test scores.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.286
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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

Citations27
Published2010
Admission routes1
Has abstractyes

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