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Record W2790298001 · doi:10.20381/ruor-19189

Stage fright: Perceptions and experiences of pre-service teachers in performing arts-based education in an inclusive setting

2010· dissertation· en· W2790298001 on OpenAlexaboutno aff
Lisa A Brankley

Bibliographic record

VenueuO Research (University of Ottawa) · 2010
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsPerceptionPsychologyPedagogyService (business)Medical educationMedicineVisual artsArt

Abstract

fetched live from OpenAlex

Approaches such as arts-based education optimize the goals of inclusive education, an emergent educational philosophy in Canada. However there is tension between this research, current classroom practice, and education policies. This study explores the perceptions of three primary/junior pre-service teachers as they engaged in the implementation of inclusion of students with exceptionalities using an arts-based approach. Data were collected through in-depth interviews with the participants (following Seidman's [2006] method) at three points during their teacher education experiences. Central findings and cross-case analysis focused on their contextual histories, teacher education experiences, and culminating reflections. Childhood events and environments influenced pre-service attitudes, while past engagement in the arts facilitated their implementation of an arts-based approach particularly in the absence of guidance from teacher education courses and their associate teacher. Participants cited academic, social, and personal benefits of implementing inclusion through the arts for students with exceptionalities. Implications for practice are discussed.

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)0.000
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 score0.312
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.368
Teacher spread0.326 · 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
Published2010
Admission routes1
Has abstractyes

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