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Record W2474199844 · doi:10.5539/ies.v9n7p47

Instruments of Change: An Action Research Study of Studio Art Instruction in Teacher Education

2016· article· en· W2474199844 on OpenAlexvenueno aff
İsmail Özgür Soğancı

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsStudioCurriculumCasualAction researchPedagogyAction (physics)PsychologyClass (philosophy)Mathematics educationSociologyVisual artsComputer scienceArtPolitical science

Abstract

fetched live from OpenAlex

<p class="apa">This article narrates a nine-month action research project conducted in order to improve studio art instruction in a preservice art education programme in Turkey. Setting out to determine the relevant problems through interpretation of conversations, anecdotes, essays and observations of 16 third-year BA students, the instructional atmosphere was rearranged with respect to three themes deduced in the action research process: “us and them,” “old-fashioned curriculum,” and “caring”. The principal results illustrate the concrete examples of “instruments of change” that integrate these themes in studio art teaching: Design of the studio, willing participation, guidance on demand, collegial environment, inclusive curriculum, language, social media and music, and casual interaction. The study presents articulations of participants on each one of these instruments through direct quotes along with links to the broader educational literature. The final concentration is on a discussion based on the changes in the instructional setting conveying the essential role of “caring” in the processes of forming “instruments of change” for art education professionals.</p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.649

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.435
GPT teacher head0.500
Teacher spread0.065 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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