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Record W4415570706 · doi:10.1017/s1366728925100631

Effects of bilingualism on foreign language learning during kindergarten years: investigating underlying mechanisms

2025· article· en· W4415570706 on OpenAlexaff
Sümeyye Koşkulu‐Sancar, Jasmijn Stolvoort, Naomi Oppeneer, Rick de Graaff, Johanne Paradis, Elena Tribushinina

Bibliographic record

VenueBilingualism Language and Cognition · 2025
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Alberta
FundersSociale en Geesteswetenschappen, NWONederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsNeuroscience of multilingualismForeign languageVocabularyGrammarEnglish as a foreign languageCognateSecond languageVocabulary development

Abstract

fetched live from OpenAlex

Abstract This study examines the underlying mechanisms driving the bilingual advantage in learning English as a foreign language (EFL) among kindergarten-aged children. Participants included 85 Dutch-speaking monolinguals and 34 bilingual children. We assessed children’s English vocabulary and grammar as the outcome variables. Furthermore, phonological awareness, executive functions and motivation to learn English were measured as potential mediators of the bilingualism–EFL relationship. We also controlled for child age, non-verbal IQ, Dutch (majority language) proficiency, intensity of school English instruction, parental education and exposure to English activities. Results showed that bilingual children outperformed monolinguals in English receptive vocabulary, but only for noncognate words; no differences emerged for cognate words or English grammar. However, none of the proposed mediators explained this advantage. Findings are discussed in terms of why the effect was limited to vocabulary and potential alternative mechanisms not explored in the present study.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.309
Teacher spread0.295 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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