辍学(神经网络)
计算机科学
会话(web分析)
人工智能
质量(理念)
资源(消歧)
多媒体
万维网
机器学习
计算机网络
哲学
认识论
作者
Zhanquan Wang,Yuxin Tian,Rui Chen,Linghe Kong
出处
期刊:Communications in computer and information science
日期:2023-01-01
卷期号:: 420-432
标识
DOI:10.1007/978-981-99-5971-6_30
摘要
Artificial intelligence technology has developed rapidly in various fields and has been widely used. Education and teaching are also areas in which artificial intelligence is applied. Research on artificial intelligence-enabled (AI-enabled) education and teaching is emerging, such as educational data mining and intelligent assisted teaching systems. First, research on AI-enabled education is introduced, and then the differences between AI-enabled education and traditional education and cases of educational data mining, learning prediction, learning resource recommendation, and various intelligent-assisted teaching systems are analysed. Our existing research results and future development are proposed, such as research on online learning session dropout prediction and the design and implementation of the zhixin teaching assistance system. Finally, this paper concludes that artificial intelligence has been well integrated into education and teaching activities in various ways and has improved students' learning experience and teachers' teaching quality. AI-enabled education and teaching is efficient and will play an increasingly important role.
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