Pilot Study on Kindergarten Teachers’ Perception of Linguistic and Musical Challenges in Nursery Rhymes
Bibliographic record
Abstract
Nursery rhymes provide a unique learning context for preschoolers in regard to their emergent literacy and musical development. According to Vygotsky’s social constructivist theory (1978), in order for learning to occur, children must face challenges, and adults must provide support to guide them toward mastery of new skills. The current pilot study began with the aim of documenting teachers’ reactions to nursery rhymes in relation to their level of difficulty. Eighty-eight kindergarten teachers were asked to use the new nursery rhymes in their classrooms. Then, they were asked fill out a questionnaire to document their reactions and their ratings of the linguistic and musical difficulty. Teachers’ reactions were measured by their overall impression of the nursery rhymes, their perception of pupils’ enjoyment of the nursery rhymes and the time they spent using these nursery rhymes in their classrooms. The results revealed that the teachers tended to have a better impression of the nursery rhymes, perceive their pupils’ enjoyment of the nursery rhymes as more positive, and spend more time on those nursery rhymes judged the easiest in regard to their vocabulary and their rhythm. According to Ezell and Justice (2005), by putting more emphasis on easier nursery rhymes, teachers might target only what children have already mastered, leaving less opportunity for new emergent literacy and music skills to develop. The results point to the necessity of improving educators’ training in regard to the use of nursery rhymes by focusing on the educational opportunities provided by linguistic and musical challenges in nursery rhymes, an important starting point for explicit instruction and scaffolding (Bruner, 1983).
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".