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Record W4308968065 · doi:10.5430/jct.v11n8p317

Teacher Self-efficacy in Music Teaching: Systematic Literature Review 2011-2021

2022· article· en· W4308968065 on OpenAlexvenueno aff
Karla Valdebenito, Alejandro Almonacid-Fierro

Bibliographic record

VenueJournal of Curriculum and Teaching · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)PsychologyThematic analysisConvictionScopusMusic educationCurriculumSelf-efficacyMathematics educationPedagogyMedical educationMEDLINEQualitative researchMedicineSociologySocial psychologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

International literature has reported that teachers present deficiencies and insecurities in teaching music; consequently, music is not taught competently and appropriately. Self-efficacy is the belief in one's ability to cope with different situations and tasks to produce achievements according to the individual's conviction. This systematic literature review aims to examine the self-efficacy of teachers who teach music within classrooms in studies conducted between the years 2011 and 2021. Articles were reviewed from the Web of Science, Scopus, and EBSCO databases, using the thematic analysis methodology and inclusion criteria, and fifteen articles were finally selected. The results indicate a clear difference in self-efficacy between specialist and non-specialist (generalist) teachers. In both cases, teachers look for different ways to teach music despite the adversities they face in their educational institutions, the low priority of the discipline within the school curriculum, and the scarce musical education they had in their teacher training. As a consequence, their level of self-efficacy is affected according to their professional and life experiences.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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 designNot applicable
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

Citations3
Published2022
Admission routes1
Has abstractyes

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