Using Nursery Rhymes to Foster Phonological and Musical Processing Skills in Kindergarteners
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this study was to assess the efficiency of four learning conditions to develop phonological and musical processing skills through a set of 10 nursery rhymes. According to the analysis of the teachers’ practices, eight kindergarten classes (n = 100 kindergarteners) were paired and assigned to one of the following conditions: 1) music, 2) language, 3) combined [music and language], and 4) passive listening (control classes). Participants in conditions 1, 2, and 3 were met for 40 minutes per week over a ten-week period. In condition 1, the nursery rhymes were supplemented by musical activities and in condition 2 by language activities. Condition 3 was a combination of activities from conditions 1 and 2. In condition 4, children listened to a recording of the same nursery rhymes for 15 minutes daily during free exploration periods. No intervention was proposed for this control condition. All participants were evaluated using the same phonological and musical processing measures prior to and after the implementation of the program. Results indicated that children in conditions 1, 2 and 3 significantly improved their phonological awareness and their invented spelling skills at post-test. However, only the two conditions in which the music component was integrated enhanced significantly their results at the verbal memory task. Children in conditions 1, 3 and 4 enhanced tonal and rhythm perception skills. This study demonstrated that supplementing nursery rhymes with language activities is an efficient manner to develop emergent literacy skills, but the addition of musical activities could also boost phonological processing skills.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it