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Research on Classification Modeling Algorithm of Language Development Curriculum Based on Iterative LightGBM Method
Mo, Yarui; Li, Xinying
2022
通讯作者邮箱mo, yarui
会议名称Proceedings of the 4th IEEE Eurasia Conference on IoT, Communication and Engineering 2022
会议录名称Proceedings of the 4th IEEE Eurasia Conference on IoT, Communication and Engineering 2022, ECICE 2022
页码373-377
会议日期不详
会议地点不详
摘要

language="eng" data-ev-field="abstract">Early education curriculum promotes children's intellectual development to a certain extent, but its internal incentive mechanism is still unclear. Thus, this research is focused on the role of early education curriculum in children's language development. The data was collected from the actual education scene of an early education institution in China. Children and parents were invited to participate in the experiment. A pre-teaching score was measured for children's language development ability. Then, the children participated in differentiated early education courses independently for post-teaching scoring of children's language development ability. The children who improved after teaching were classified as positive samples, while those who improved less were negative samples. Secondly, all early education courses were labeled according to their characteristics. Then, based on the LightGBM method, a classification model of children's language ability development based on curriculum characteristics was constructed. The result showed consistency in the children's intellectual development according to teaching experience.

收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/44768
专题中国科学院行为科学重点实验室
作者单位Institute of Psychology, University of Chinese Academy of Sciences, Cas Key Laboratory of Behavioral Science, Department of Psychology, Beijing, China
推荐引用方式
GB/T 7714
Mo, Yarui,Li, Xinying. Research on Classification Modeling Algorithm of Language Development Curriculum Based on Iterative LightGBM Method[C],2022:373-377.
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