The Application of Humorous Song in EFL Classrooms and Its Effects on Listening Comprehension
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".