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Simulation and prediction study of artificial intelligence education dynamics model for primary and secondary schools

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成果类型:
期刊论文
作者:
Huang, Tao;Geng, Jing;Chen, Yuxia;Wang, Han;Yang, Huali;...
通讯作者:
Geng, J
作者机构:
[Hu, Shengze; Huang, Tao; Geng, Jing; Chen, Yuxia] Cent China Normal Univ, Natl Engn Res Ctr Educ Big Data, Wuhan, Hubei, Peoples R China.
[Huang, Tao] Ningxia normal Univ, Guyuan, Ningxia, Peoples R China.
[Yang, Huali] Wuhan Text Univ, Sch Comp Sci & Artificial Intelligence, Wuhan, Hubei, Peoples R China.
[Wang, Han] Hubei Univ, Sch Educ, Wuhan, Hubei, Peoples R China.
通讯机构:
[Geng, J ] C
Cent China Normal Univ, Natl Engn Res Ctr Educ Big Data, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Artificial intelligence education;Primary and secondary school;Structural equation modeling;System dynamics;Developmental prediction
期刊:
Education and Information Technologies
ISSN:
1360-2357
年:
2024
基金类别:
National Natural Science Foundation of China
机构署名:
本校为第一且通讯机构
摘要:
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in primary and secondary schools, a dynamic system model was constructed based on the CIPP (Context, Input, Process, and Product) education evaluation model. We employed a mixed-method research approach, combining both qualitative and quantitative methods, t...

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