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Record W4381616111 · doi:10.5206/notabene.v16i1.16615

Reimagining the Music Classroom: Student Engagement with Learning and Self-Corrective Strategies through Play-Based Music Education

2023· article· en· W4381616111 on OpenAlexvenueno aff
Montanna Teh

Bibliographic record

VenueNota bene · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityPsychologyMusic educationPedagogyPhenomenonMusicalStudent engagementMathematics educationSocial psychologyVisual arts

Abstract

fetched live from OpenAlex

The phenomenon of musical play has gained significant traction in recent research pertaining to music education. However, despite the popularity of this topic in both educational and research settings, investigation into the pedagogical potential of play has largely been limited to elementary-aged students. As such, middle and high school students (13-18 years) often experience rigid pedagogies that fail to appreciate the complexity of the adolescent stage of development. In response, this article draws on a single case study of play-based music education in middle school, and examines the ways in which social learning environments promote student engagement with learning and self-correction strategies. Based on analysis of the collected data, the research found that learning in play-based environments is cyclical, where the adoption of self-correction strategies is largely driven by the adolescent’s desire to participate in social interactions and experience the resulting sense of belonging. Therefore, the results indicate that student learning is enhanced by utilising pedagogies that respect the socio-cultural environments that adolescents experience.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.060
GPT teacher head0.285
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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