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Record W2809230476 · doi:10.1177/1321103x19871077

Beyond the workshop: An interpretive case study of the professional learning of three elementary music teachers

2020· article· en· W2809230476 on OpenAlexaff
Jody Stark

Bibliographic record

VenueResearch Studies in Music Education · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychologyVariety (cybernetics)Professional learning communityProfessional developmentPedagogyQuality (philosophy)Teaching methodMathematics educationComputer science

Abstract

fetched live from OpenAlex

This article outlines the methodology and findings from an interpretive collective case study exploring the professional learning of three elementary music teachers. Participants were purposefully selected based on their differing career stages, background, and teaching situations, and each participant was interviewed five or six times over the course of the 5-month study. Additional data sources included field notes from classroom observations, a variety of artifacts provided by the participants, and responses to Pre-Interview Activity prompts. Through hermeneutic analysis of individual case data related to each participant’s teaching and experience of professional learning, participants were found to have a variety of highly personalized learning processes which they used as mechanisms for their ongoing professional growth. Cross-case analysis revealed three larger themes related to the participants’ professional learning: (1) The quality of the participants’ learning was always instrumental and related to specific personal goals for/issues in practice; (2) meaningful professional learning had a temporal element and was characterized by continuity; and (3) the participants’ professional learning was social in nature.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.320
GPT teacher head0.442
Teacher spread0.122 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2020
Admission routes1
Has abstractyes

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