AUTHOR=Liang Rui , Zhu Hongmei , Lawson Grant , Lian Zhao , Huang Yuqi , Chen Shengyuan 

TITLE=Early childhood learning analytics: A case study of Learning Jungle

JOURNAL=Frontiers in Applied Mathematics and Statistics

VOLUME=Volume 8 - 2022

YEAR=2023

URL=https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2022.1075653

DOI=10.3389/fams.2022.1075653

ISSN=2297-4687

ABSTRACT=The benefits of participating in high-quality Early Childhood Education (ECE) have been recognized by people for many years; and the need for high-quality ECE has never been greater [1-3].  In this case study, we focus on whether ECE can improve the learning speed in five domains: social, emotional, communication, cognition, and physical developments. The initial ages for each of these five domains, in months since the birth, are collected, and compared with that of common children as described in Nipissing District Developmental Screen (NDDS). We find that children in the ECE program learned faster with the p-value no greater than 0.0078. In addition, students in an ECE program are labelled by their ages at enrollment as Cohort 1 (infant) and Cohort 2 (toddler), and we conduct following statistical tests on their difference: Welch’s t-test, Hoteling’s T^2 test, and survival analysis. We find that the average initial observation age of Cohort 1 is 4.82 months earlier than that of Cohort 2 with the p-value no greater than 0.009. We are convinced that ECE programs could advance students’ learning in all five domains.