339
Views
0
CrossRef citations to date
0
Altmetric
Articles

A meta-analysis of teacher–child interaction and early child outcomes from the perspective of CLASS

, , , &
Pages 1620-1651 | Received 26 Aug 2022, Accepted 15 Oct 2023, Published online: 09 Nov 2023
 

ABSTRACT

This meta-analysis aims to clarify the relationship between teacher–child interaction and children's outcomes in language, mathematics, literacy, social development, and self-regulation based on the perspective of the Classroom Assessment Scoring System (CLASS). A total of 24 studies with 139 independent effect sizes and 67,919 participants were included through literature search and screening. The results show that CLASS is moderately correlated with children's outcomes in language, mathematics, self-regulation, and correlated with children's literacy and social development to a low degree. Apart from within-domain links to children's outcomes, most CLASS domains have cross-domain links to children's outcomes. These links are also influenced to varying degrees by the level of economic and social development, children's commonly used language, child outcome measurement tools, and the emotional support domain score of CLASS. Future studies should standardize the presentation of key information and explore the interaction of multiple variables.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Qikai Zheng

Qikai Zheng received the B.Ed. Degree in Preschool education from Wenzhou University, Wenzhou, China, in 2020 and the M.Phil. degree in Early Childhood Education and Child Development from University of Macau, Zhuhai, China, in 2023. His research direction is quality evaluation of preschool education.

Xinjun Zheng

Xinjun Zheng received the B.Ed. Degree in School education from Hangzhou University, Hangzhou, China, in 1990, a M.S. degree in Basic Psychology from East China Normal University, Shanghai, China, and Ph.D. degree in Developmental and educational psychology from Shanghai Normal University, Shanghai, China, in 2008. He is currently a professor of psychology in Wenzhou University. His research interests include social development, Moral psychology and Quality evaluation of preschool education.

Naihua Liu

Naihua Liu received the B.A. degree in Early Childhood Education from Chiayi University, Taiwan, China, in 1989 and the M.A. in Philosophy Education from Nanhua University, Taiwan, China, in 2003. The Ph.D. degree in Preschool Education from East China Normal University, Shanghai, China, in 2007. She is currently working in University of Macau. Her research interests include Curriculum design in early childhood education, Administration for early childhood education and Children literature.

Fen Wang

Fen Wang received the bachelor degree in Preschool education from Jiangxi Science and Technology Normal University, Nanchang, China, in 2020. She is currently pursuing a master's degree in preschool education at Wenzhou University with a research focus on child language development.

Yuwei Zhao

Yuwei Zhao received the B.Ed. degree in Preschool Education from Inner Mongolia Honder College of Arts and Sciences, Hohhot, China, in 2021. She is currently pursuing a master's degree in preschool education at Wenzhou University with a research focus on child language development.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 767.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.