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Record W4411251128 · doi:10.1080/10901027.2025.2508955

Towards play-based curriculum: moderating effect of early childhood teacher’s experience on the relationship between teacher’s playfulness, teaching efficacy, and classroom interaction during curriculum revision

2025· article· en· W4411251128 on OpenAlexaff
Eun Jin Kang, Jiun Lee

Bibliographic record

VenueJournal of Early Childhood Teacher Education · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsPsychologyCurriculumEarly childhood teacherEarly childhoodMathematics educationEarly childhood educationPedagogyDevelopmental psychology

Abstract

fetched live from OpenAlex

In 2019, South Korea revised its national level early childhood curriculum emphasizing child-centered, play-based approach. The revision process involved training for 24 pilot preschools and 20 childcare centers. This study compared participants based on participation in the pilot program to determine effectiveness of the program. A total of 259 early childhood teachers completed an online survey. Among the participants, 105 participated in the pilot program. Using SPSS 27.0, descriptive statistical analysis, independent sample t-tests, and bivariate correlations were calculated. PROCESS macro Model 7 was utilized to analysis the moderating effect of the experience on the relationship between teachers’ playfulness, teaching efficacy, and classroom interaction. According to the analysis, teachers with more years of experience tended to have higher levels of teaching efficacy and classroom interaction. Also, teacher’s playfulness significantly influenced classroom interaction mediated by teaching efficacy. Lastly, the moderating effect of experience was statistically significant only for teachers who participated in the pilot program. Teachers with low to mid-levels of experience displayed a significant moderating effect on teaching efficacy. The revision of the curriculum poses a new challenge for teachers. Therefore, it is importance to tailor curriculum revisions and teacher training programs according to teachers’ levels of experience.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.019
GPT teacher head0.325
Teacher spread0.306 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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