Language Environments in Slovenian Early Education Centers: Examining Preschool Teachers' Speech Across Daily Classroom Activities

ABSTRACT Early childhood represents a unique window for language learning. Previous research has established reliable links between parental speech and the pace of children's language development; however, much less is known about children's naturalistic experiences in early education centers. We utilized longform recordings and the LENA technology to examine the variation in preschool teacher speech and its links to children's productive vocabulary in government‐run early education centers in Slovenia. The sample included 80 children (2.5–4 years, 38 girls) and ~350 h of naturalistic data from 8 classrooms. Children's language environments were shaped by activity context, with “Morning Circle” being the most interactive and “Indoor Play” the least interactive activity. Adult words varied primarily at the classroom level, while conversational turns varied primarily at the individual child level. Conversational turns, but not the sheer amount of adult speech, were associated with children's productive vocabularies. Many children worldwide spend a significant amount of time in early education settings; our results underscore the importance of considering these contexts in debates around providing supportive language environments for all children.

Authors

Institutions

Publication Details

Journal
Mind Brain and Education
Published
2026-10-06
DOI
https://doi.org/10.1111/mbe.70062
Primary Topic
Language Development and Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Language Environments in Slovenian Early Education Centers: Examining Preschool Teachers' Speech Across Daily Classroom Activities

Kaja Hacin Beyazoglu, Naja Ferjan Ramírez, Urška Fekonja, Nika Pogorelc-Jesih et al.
Mind Brain and Education
Language Development and Disorders
article

Language Environments in Slovenian Early Education Centers: Examining Preschool Teachers' Speech Across Daily Classroom Activities

Kaja Hacin Beyazoglu, Naja Ferjan Ramírez, Urška Fekonja, Nika Pogorelc-Jesih, Živa Manja Petrovec, Maja Buzuk
article en

Abstract

ABSTRACT Early childhood represents a unique window for language learning. Previous research has established reliable links between parental speech and the pace of children's language development; however, much less is known about children's naturalistic experiences in early education centers. We utilized longform recordings and the LENA technology to examine the variation in preschool teacher speech and its links to children's productive vocabulary in government‐run early education centers in Slovenia. The sample included 80 children (2.5–4 years, 38 girls) and ~350 h of naturalistic data from 8 classrooms. Children's language environments were shaped by activity context, with “Morning Circle” being the most interactive and “Indoor Play” the least interactive activity. Adult words varied primarily at the classroom level, while conversational turns varied primarily at the individual child level. Conversational turns, but not the sheer amount of adult speech, were associated with children's productive vocabularies. Many children worldwide spend a significant amount of time in early education settings; our results underscore the importance of considering these contexts in debates around providing supportive language environments for all children.

Mind Brain and EducationVol. 20(4)
University of Ljubljana (SI), University of Washington (US)
Openalex Percentile: Top 4%
Language Development and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.