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Kim, Kyoung Jin; Han, Minkyung; Jung, Eunyoung; Sohn, Ji-Hyang – Childhood Education, 2022
As environmental education and sustainability education play a fundamental role in training citizens who are more aware of global change and more environmentally responsible, organic learning is a recommended alternative learning experience for young children. This article describes how one kindergarten class in South Korea applied organic…
Descriptors: Child Development, Environmental Education, Learning Experience, Kindergarten
Suk, Youmi; Kim, Jee-Seon; Kang, Hyunseung – Journal of Educational and Behavioral Statistics, 2021
There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…
Descriptors: Artificial Intelligence, Statistical Analysis, Statistical Inference, Classification
Choi, Jungtae; Kim, Kihyun – Prevention Science, 2022
The purpose of this study was to explore and identify patterns of risk predictors of maltreatment recurrence using predictive risk modeling (PRM). This study used the administrative dataset from the National Child Maltreatment Information System recorded by Korean CPS (Child Protective Service) workers. The information, including recurrent…
Descriptors: Foreign Countries, Child Abuse, Social Services, Children