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Record W4393144840 · doi:10.29329/jirte.2024.650.1

Examining early childhood teachers' beliefs and practices about multicultural education

2024· article· en· W4393144840 on OpenAlexaff
Özge Özel

Bibliographic record

VenueJournal of Innovative Research in Teacher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsEducation and Early Childhood Development
FundersBurdur Mehmet Akif Ersoy Üniversitesi
KeywordsMulticulturalismMulticultural educationCurriculumNonprobability samplingInterpreterPedagogyMeaning (existential)Qualitative researchPsychologyEarly childhoodEarly childhood educationMathematics educationSociologyDevelopmental psychologySocial science

Abstract

fetched live from OpenAlex

Multiculturalism has become a crucial part of education in most countries and Türkiye since global migrations are constantly increasing. However, multicultural education is still being discovered by teachers and educators. Therefore, this study examined early childhood teachers’ beliefs and practices through multicultural education in Türkiye. The study was designed as a qualitative study in which multiple case studies design was utilized for investigation. All six participants were selected by purposive sampling and working with 5-6-year-old children from different countries. Data was collected through semi-structured interviews, and inductive content analysis was utilized to analyze the collected data. The findings indicated that teachers are not aware of the meaning of multiculturalism and multicultural education. Teachers were not prepared to teach culturally diverse children. In addition, they believe that instead of preparing the classroom for children with different funds of knowledge and adapting the curriculum for them multicultural children should adapt to the current educational system. Finally, teachers claimed the language barrier is the biggest issue they had to cope with, and they use online translators, older siblings going to the same school as interpreters, and body language to solve this problem.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.103
GPT teacher head0.504
Teacher spread0.402 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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