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Record W4394999632 · doi:10.1080/03054985.2024.2331180

Theory-informed beliefs in early childhood education: contradictions in child development theories and models of play

2024· article· en· W4394999632 on OpenAlexfundno aff
Anne Suryani, Marilyn Fleer

Bibliographic record

VenueOxford Review of Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersAustralian Research CouncilMonash UniversityMcGill University
KeywordsEarly childhood educationEducation theoryChild developmentPedagogySociologyPsychologyCritical theoryDevelopmental stage theoriesDevelopmental psychologyMathematics educationEpistemologyPolitical scienceHigher education

Abstract

fetched live from OpenAlex

Theory-informed practice has a long tradition within the profession of early childhood education in Australia and internationally.Aligned with longstanding policy and curriculum in Australia, the profession has seen a prominence of resources informed by biological, behaviourism/socio-behaviourist, social learning, psycho-genetic, culturalhistorical, critical and poststructuralist theories.Despite the plethora of theories being supported within early childhood education and care, little research has been directed to determining if and how educators use theory to inform their play practices.This paper takes up the challenge by surveying 200 Australian early childhood educators about the theories that were most relevant to their practices and the models of play that informed their day-to-day work in centres.Higher qualified educators were informed most by culturalhistorical theory whilst technically qualified educators were more guided by social learning theory.Playwork was the model of play found to be most familiar to all educators.However, the results also show a limited alignment between theories of learning and development and models of play, suggesting an interesting contradiction in understandings of educators that is worthy of further research.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.302
Teacher spread0.292 · 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 designTheoretical or conceptual
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

Citations4
Published2024
Admission routes1
Has abstractyes

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