Music teaching and the promotion of phonological awareness in 5- and 6-year-old children
Bibliographic record
Abstract
This paper discusses the relationship between music and language and presents evidence on how this connection can promote pre-reading skills. These skills are essential for students’ school success and reading acquisition. In the last decade, several researchers have investigated the relationship between music lessons and the development of language skills. It has been found that participation in music lessons in the preschool period is associated with increased phonological awareness in children with typical language development (Patscheke et al., 2016; Vidal et al., 2020). Some authors argue that music training can be used in interventions to overcome atypical language development (Pitt et al., 2017). Music perception has been pointed as a predictor of reading skills, particularly rhythm perception through beat synchronization (Bolduc, 2009) and rhythmic discrimination (Moritz et al., 2013). Furthermore, Hallam (2018) explored this topic with 11- and 12-year-old children and found that an intervention based on rhythmic activities can improve reading skills of low proficient readers. In this context, we examine Goswami's (2011) Temporal Sampling Theory, that argues that rhythmic abilities are especially correlated with the processing of speech. Finally, we analyze studies carried out with 5- and 6-year-old children in several countries (United States of America, Canada, Spain, and Germany). These studies’ methodologies are mostly experimental, with various configurations of intervention and control groups and different sample sizes. The research design is essentially longitudinal, with various time periods, always with intervention and pre-and post-testing of rhythmic and/or tonal abilities and phonological awareness. Moreover, nonverbal intelligence and socioeconomic background have been used as controlled variables in several studies. The results emerging from those investigations might contribute to establish new educational guidelines and new curricular paradigms. In this context, it would be important to establish a professional network with those who intervene with children with linguistic impairment and the music teachers. The preschool music teacher might become an important agent in signaling atypical linguistic developments, as well as a valuable partner in the elaboration of interdisciplinary programs for overcoming atypical linguistic developments. In Portugal, there is a lack of studies addressing the relationship between music lessons and the development of phonological awareness in preschool children. Thus, we hope that this review may contribute to the emergence of new research in this field of study.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".