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Record W4391817514 · doi:10.1177/10778004241229063

Collaborative Creative Engagements as Drivers for Re-imagining Classrooms and Pedagogies

2024· article· en· W4391817514 on OpenAlexafffundabout
Natalie Tacuri, Mindy R. Carter, Layal Shuman, Anne Harris, Christopher Blomkwist

Bibliographic record

VenueQualitative Inquiry · 2024
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsToronto Metropolitan UniversityMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAutoethnographySociologyPedagogyEthnographyAestheticsMathematics educationPsychologyGender studiesAnthropologyArt

Abstract

fetched live from OpenAlex

This paper presents a study examining how pre-service teachers understand and experience the limit(s) of classroom creativity in a Canadian higher education class. Participants first completed a modified version of the Harris Creativity Audit to assess their preliminary understandings of creativity policies and practices, as well as perceptions of the value and feasibility of incorporating creativity into their own teaching. The survey results informed the content of a two-part workshop where participants utilized participatory design and sketch modeling to further explore their understanding of classroom creativity. Data analysis resulted in three themes: (a) the impact of physical space; (b) assessing creativity and assessing in creative ways; (c) challenging the educational system. This study is part of a multisite Social Sciences and Humanities Research Council-funded project that aims to explore creativity in higher education to empower educators and students to develop creative agency through creative ecologies and collaborative assessment.

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 score0.216
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.188
GPT teacher head0.555
Teacher spread0.366 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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