Research on students' classroom behavior based on big data analysis and hidden Markov model. Issue 1 (April 2021)

• Record Type: Journal Article
• Authors: Tang, Mingwei; Chen, Xiaoliang; Mao, Hongyun; Yang, Tian; Xie, Jianhua; Zhu, Lin; Zhong, Shifen
• Is Part Of: Journal of physics. Volume 1873:Issue 1(2021)
• Publication Date: 2021-04
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1873/1/012084
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Under the traditional mode of classroom teaching, there is a problem that students' classroom behaviours are inconsistent with their classroom results. In view of the above problems, this paper analyses students' classroom behaviours through big data, and gives a hidden Markov model. The model can establish the organic relationship between classroom behaviours and students' results, and adjust the contents that affect classroom behaviours in real time in the process of teaching. The results show that the model is effective, and big data analysis plays an important role in the analysis of curriculum behaviours.