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Record W4313855784 · doi:10.26443/crae.v49i1.166

Nurturing Creativity in the Visual Arts Classroom Understanding Teacher Strategies through Amabile's Componential Theory

2022· article· en· W4313855784 on OpenAlex
Tiina Kukkonen, Benjamin Bolden

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Review of Art Education / Revue canadienne d’éducation artistique · 2022
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsQueen's University
Fundersnot available
KeywordsCreativityPsychologyMathematics educationTask (project management)The artsFrame (networking)Focus (optics)PedagogyDomain (mathematical analysis)Computer scienceVisual artsSocial psychology

Abstract

fetched live from OpenAlex

Creative skill-building is a major focus of educational systems around the world. In this article, we draw on data from four K-12 visual arts teachers to illustrate pedagogical strategies used to support students’ creative development. We adopt Teresa Amabile’s Componential Theory of Creativity to frame the teachers’ approaches to creative skill-building, identifying how they nurtured students’task motivation, domain-specific skills, and creativity-relevant processes. By presenting the teaching strategies in this way, we hope to enable art educators to recognize, shape, and enhance how their own teaching can support the development of student creativity in the visual arts classroom.

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.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.080
GPT teacher head0.372
Teacher spread0.293 · 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