Evidence map›Paper›PMID 41799898›Full record

ArticleF1000Research2025

Music-mediated Pedagogy to Boost Efl Students' Listening Engagement and Fluency in Emi Contexts: A Scoping Review (2015-2025).

Phuong Bao Tran Nguyen, Ngoc Bao Chau Tran, Minh Tan Nguyen

Abstract readScoping Review
In one paragraph

Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Phuong Bao Tran NguyenCan Tho University, Can Tho, Can Tho, 94000, Vietnam.
Ngoc Bao Chau TranCan Tho University, Can Tho, Can Tho, 94000, Vietnam.ORCID https://orcid.org/0009-0000-4704-2628
Minh Tan NguyenCan Tho University, Can Tho, Can Tho, 94000, Vietnam.ORCID https://orcid.org/0000-0001-9585-5164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, studies in EMI contexts describe a range of music-based interventions for EFL learners that generally fall into several categories. Many interventions rely on song listening as the core activity. Some studies use song listening alone, while others combine it with activities such as lyric analysis, dictation, gap-filling, or group discussion. Digital platforms-via Spotify, YouTube, LyricsTraining, and other web-based tools-have also been deployed to deliver authentic music experiences and provide interactive feedback. A smaller set of studies reports the use of music cloze exercises, jazz chants, pop music selections, children's songs, humorous songs, and even singing paired with body movement or drama to enhance engagement and fluency. Quantitative reports detail meaningful improvements. For example, one study documented an increase in mean engagement scores from 3.06 to 7 following a 10-week song listening intervention, while another showed test scores rising from 65% to 82% when song listening was coupled with lyric analysis. Other studies note enhancements in reduced form recognition, listening comprehension, and overall motivation. Together, these findings illustrate that music-based interventions-whether grounded in traditional song listening or enhanced by digital and interactive components-are associated with increased listening engagement and measurable gains in fluency.

Indexed as

LearningMusicStudentsTeachingHumansBackground musicEnglish as a Foreign Language (EFL)English-Medium Instruction (EMI)Listening engagementMusic-mediated pedagogyOral fluencyProsody trainingSong-based instruction

Identifiers

PMID41799898
PMCPMC12961287

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.