PSYCH OpenIR
Mediating Characteristics of Adolescent Academic Achievement from Big Data Perspective: Exploration and Application of Data Analysis and Computation
Jichen, Wang1,2; Yanjun, Wen3; Gen, Kou4; Jun, Li4; Xingli, Zhang1,2
2024
通讯作者邮箱jichen, wang ; [email protected] (张兴利)
会议名称2024 IEEE 7th Eurasian Conference on Educational Innovation: Educational Innovations and Emerging Technologies, ECEI 2024
会议录名称2024 IEEE 7th Eurasian Conference on Educational Innovation: Educational Innovations and Emerging Technologies, ECEI 2024
页码296-299
会议日期2024
会议地点不详
摘要

Based on big data, we explored the mediating features of adolescents' academic performance. Using the methods of data analysis and model building, we mined students' personal information, family background, and academic performance. Features such as academic performance were extracted. The model predicted academic performance precisely. The mediating effect analysis results revealed the mediating role of specific features in the model. The results of this study provide information for school management and educational policy-making and help to understand the complex mechanisms of adolescents' academic achievement formation.

DOI10.1109/ECEI60433.2024.10510836
收录类别EI
引用统计
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/47721
专题中国科学院心理研究所
作者单位1.Institute of Psychology, Chinese Academy of Sciences, Beijing; 100101, China
2.University of Chinese Academy of Sciences, Department of Psychology, Beijing; 100049, China
3.Beijing Ruanqi Technical Co., Ltd, Beijing; 101316, China
4.Cangxi Middle School of Sichuan, Sichuan, 628404, China
推荐引用方式
GB/T 7714
Jichen, Wang,Yanjun, Wen,Gen, Kou,et al. Mediating Characteristics of Adolescent Academic Achievement from Big Data Perspective: Exploration and Application of Data Analysis and Computation[C],2024:296-299.
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