Modeling the nonlinear relationship between structure and process quality features in Chinese preschool classrooms
Abstract
Early Child Education (ECE) quality encompasses a complex, nonlinear system that includes both structural quality elements, like child-teacher ratio, as well as process quality features, such as teacher-child interactions. This study employed an artificial intelligence technology entitled Back-Propagation Neural Network (BPNN) to model the nonlinear relationship between these ECE quality elements. Based on the Guangdong Preschool Rating and...
Paper Details
Title
Modeling the nonlinear relationship between structure and process quality features in Chinese preschool classrooms
Published Date
Feb 1, 2020
Volume
109
Pages
104677 - 104677
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History