location:Home > 2024 Vol.7 Dec.N06 > Analysis and prediction of student learning behavior based on AI

2024 Vol.7 Dec.N06

  • Title: Analysis and prediction of student learning behavior based on AI
  • Name: Xiaomei Yang
  • Company: Guangxi Vocational Normal University, Nanning, 530007 China
  • Abstract:

    Education is the foundation of human development, and students' learning achievement and development are closely related to the quality of education. In recent years, with the rapid development of artificial intelligence technology, it has become inevitable to apply artificial intelligence in the field of education. Based on artificial intelligence technology, this paper makes a study of students 'learning behavior, analyzes the application of artificial intelligence technology in university teaching in China, and discusses the prediction of students' learning behavior based on artificial intelligence. A prediction model of student learning behavior was established by combining the key factors of student learning behavior analysis.


  • Keyword: artificial intelligence; students' learning behavior; analysis and prediction;
  • DOI: 10.12250/jpciams2024090704
  • Citation form: Xiaomei Yang.Analysis and prediction of student learning behavior based on AI[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.18-20
Reference:

[1] Liu Xiao. Design of Student Classroom Learning Behavior Monitoring System based on AI Technology [J]. China New Communications, 2023,25 (18): 65-67.

[2] Jiang Yuchen, He He, Liu Tao, et al. Research on-monitoring monitoring Learning Learning Learning Learning Learning learning students [J]. Electronic devices, 2023,46 (4): 1070-1074.

[3] Jin Hengqing. Research on the prediction mechanism of quality literacy based on AI reinforcement learning algorithm [J]. Software, 2023,44 (9): 116-119.

 


Tsuruta Institute of Medical Information Technology
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