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Record W4293217956 · doi:10.5539/res.v14n3p88

Teaching Approaches for Preschool Teachers Through Community Dance During Pandemic. An Art-Based Research

2022· article· en· W4293217956 on OpenAlexvenueno aff
Elenı Tsompanakı, Konstantinos os Mag

Bibliographic record

VenueReview of European Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsDanceExperiential learningPsychologyPedagogyMathematics educationPandemicVisual arts educationCoronavirus disease 2019 (COVID-19)Holistic educationSociologyVisual artsArtThe artsMedicine

Abstract

fetched live from OpenAlex

This study is part of a postdoctoral research on creative teaching approaches using movement/dance didactic to potential preschool teachers, through distance learning. The aim was to associate the multiplicity of distance education with holistic learning of an experiential nature, during the pandemic and in a state of confinement. Methodologically, it was an Art Based Research (ABR), which utilized alternative forms of expression. The sample consisted of 88 students of a pedagogical department of preschool education, in Greece. The results showed that this research contributed positively to the rebirth of new teaching approaches, which illuminate the connection between art and education and enhance the holistic education of 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 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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.581
GPT teacher head0.437
Teacher spread0.144 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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