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Record W237306877 · doi:10.59236/ijea6n8

Experiences of Artists and Artist-Teachers Involved in Teacher Professional Development Programs

2005· article· en· W237306877 on OpenAlexafffundabout
Рена Упитис

Bibliographic record

VenueInternational journal of education and the arts · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaQueen's UniversityAustralian National University
KeywordsProfessional developmentFaculty developmentPedagogyPsychologyVisual arts educationTeaching methodVisual artsMathematics educationSociologyArtThe arts

Abstract

fetched live from OpenAlex

This research explores the experiences of artists and artist-teachers involved in two professional development programs for arts education: a national Canadian program and a state-wide American program. Both programs aim to help classroom teachers develop ways of teaching in and through the arts by interacting with partnering artists and/or arts organizations. Based on survey data and interviews with artists, artistteachers, teachers, and administrators, the paper outlines the experiences of artists and artist-teachers who had been involved in the programs for at least two years. The main themes developed through this research were: (1) how artists’ views of their art forms were altered, (2) what the artists viewed as challenges of contemporary public education, (3) how artists’ views of the teaching profession were altered, and (4) how artists articulated the benefits of the arts in young people’s lives. The paper closes with a discussion of issues to consider when designing professional development programs involving artists and teachers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.025
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0250.012
Scholarly communication0.0080.004
Open science0.0020.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.029
GPT teacher head0.308
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), 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

Citations28
Published2005
Admission routes3
Has abstractyes

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