Radio Drama Competition as an Effective Tool to Boost the Motivation and Self-Confidence of Primary and Secondary School English Learners in Hong Kong
Bibliographic record
Abstract
In this report, we investigate the use of a radio drama competition to boost motivation, self-confidence, and cooperation in language learning for primary and secondary school students in Hong Kong. The results suggest the radio drama competition had a positive impact on increasing motivation, collaboration, and confidence in language learning. For the study, we used online surveys and interviews with students and teachers who participated in the radio drama competition to examine their perceptions of the competition. We have included the surveys and interview results of two competitions in consecutive years, and both years’ results indicate students had positive views about their experience. Both students and teachers believed the competition enhanced collaboration and teamwork, confidence, and communication skills most. This paper contributes to the literature by shedding light on the pedagogical implications of English teachers incorporating more radio drama and language arts into their classrooms to improve students’ language learning. Well-selected language arts materials could increase students’ language learning process as well as their motivation and self-confidence to learn the target language.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".