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Fu, Chanjuan; Hao, Xiaoxin; Shi, Donglin; Wang, Lin; Geng, Fengji – Education and Information Technologies, 2023
Coding learning can promote the development of computational thinking (CT) in young children. The effect of coding learning on CT may vary between different cultures. However, it lacks studies to evaluate the effect of coding learning on the various dimensions of CT in young Chinese children. To provide insight into this question, we recruited…
Descriptors: Foreign Countries, Young Children, Computation, Thinking Skills
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Li, Kuokuo; Fang, Zhenghuan; Zhao, Guihu; Li, Bin; Chen, Chao; Xia, Lu; Wang, Lin; Luo, Tengfei; Wang, Xiaomeng; Wang, Zheng; Zhang, Yi; Jiang, Yi; Pan, Qian; Hu, Zhengmao; Guo, Hui; Tang, Beisha; Liu, Chunyu; Sun, Zhongsheng; Xia, Kun; Li, Jinchen – Journal of Autism and Developmental Disorders, 2022
The clinical similarity among different neuropsychiatric disorders (NPDs) suggested a shared genetic basis. We catalogued 23,109 coding de novo mutations (DNMs) from 6511 patients with autism spectrum disorder (ASD), 4,293 undiagnosed developmental disorder (UDD), 933 epileptic encephalopathy (EE), 1022 intellectual disability (ID), 1094…
Descriptors: Mental Disorders, Genetics, Patients, Autism
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Wang, Lin; Shi, Donglin; Geng, Fengji; Hao, Xiaoxin; Chanjuan, Fu; Li, Yan – Journal of Educational Research, 2022
Coding learning involves cognitive control ability that enables children to coordinate behaviors according to internally maintained goals. However, such ability is still developing during early childhood and cannot reach maturity at least until late adolescence. This study aimed to test whether integrating cognitive control strategies into online…
Descriptors: Cognitive Ability, Cognitive Processes, Cognitive Development, Self Control