Early childhood learning analytics: A case study of Learning Jungle
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. In this case study, we focus on whether ECE can improve learning speed in five domains: social, emotional, communicat...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-01-01
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Series: | Frontiers in Applied Mathematics and Statistics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fams.2022.1075653/full |
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author | Rui Liang Hongmei Zhu Grant Lawson Zhao Lian Yuqi Huang Shengyuan Chen |
author_facet | Rui Liang Hongmei Zhu Grant Lawson Zhao Lian Yuqi Huang Shengyuan Chen |
author_sort | Rui Liang |
collection | DOAJ |
description | 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. In this case study, we focus on whether ECE can improve learning speed in five domains: social, emotional, communication, cognition, and physical development. The initial ages for each of these five domains, in months since 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 a p-value no >0.0078. In addition, students in an ECE program are labeled by their ages at enrollment as Cohort 1 (infant) and Cohort 2 (toddler), and we conduct the following statistical tests on their difference: Welch's t-test, Hoteling's T2-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 a p-value no >0.009. We are convinced that ECE programs could advance students' learning in all five domains. |
first_indexed | 2024-04-10T20:26:05Z |
format | Article |
id | doaj.art-2454944bf55540cca801a192d929344c |
institution | Directory Open Access Journal |
issn | 2297-4687 |
language | English |
last_indexed | 2024-04-10T20:26:05Z |
publishDate | 2023-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Applied Mathematics and Statistics |
spelling | doaj.art-2454944bf55540cca801a192d929344c2023-01-25T09:40:29ZengFrontiers Media S.A.Frontiers in Applied Mathematics and Statistics2297-46872023-01-01810.3389/fams.2022.10756531075653Early childhood learning analytics: A case study of Learning JungleRui Liang0Hongmei Zhu1Grant Lawson2Zhao Lian3Yuqi Huang4Shengyuan Chen5Department of Mathematics and Statistics, York University, Toronto, ON, CanadaDepartment of Mathematics and Statistics, York University, Toronto, ON, CanadaDevhaus Corporation, Toronto, ON, CanadaDevhaus Corporation, Toronto, ON, CanadaDevhaus Corporation, Toronto, ON, CanadaDepartment of Mathematics and Statistics, York University, Toronto, ON, CanadaThe 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. In this case study, we focus on whether ECE can improve learning speed in five domains: social, emotional, communication, cognition, and physical development. The initial ages for each of these five domains, in months since 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 a p-value no >0.0078. In addition, students in an ECE program are labeled by their ages at enrollment as Cohort 1 (infant) and Cohort 2 (toddler), and we conduct the following statistical tests on their difference: Welch's t-test, Hoteling's T2-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 a p-value no >0.009. We are convinced that ECE programs could advance students' learning in all five domains.https://www.frontiersin.org/articles/10.3389/fams.2022.1075653/fullEarly Childhood Education (ECE)statistical analysissurvival analysisWelch's t-testHoteling's T2-test |
spellingShingle | Rui Liang Hongmei Zhu Grant Lawson Zhao Lian Yuqi Huang Shengyuan Chen Early childhood learning analytics: A case study of Learning Jungle Frontiers in Applied Mathematics and Statistics Early Childhood Education (ECE) statistical analysis survival analysis Welch's t-test Hoteling's T2-test |
title | Early childhood learning analytics: A case study of Learning Jungle |
title_full | Early childhood learning analytics: A case study of Learning Jungle |
title_fullStr | Early childhood learning analytics: A case study of Learning Jungle |
title_full_unstemmed | Early childhood learning analytics: A case study of Learning Jungle |
title_short | Early childhood learning analytics: A case study of Learning Jungle |
title_sort | early childhood learning analytics a case study of learning jungle |
topic | Early Childhood Education (ECE) statistical analysis survival analysis Welch's t-test Hoteling's T2-test |
url | https://www.frontiersin.org/articles/10.3389/fams.2022.1075653/full |
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