Analysis and Research on students' classroom behaviour data based on LSTM
Konferenz: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
25.03.2022 - 27.03.2022 in Wuhan, China
Tagungsband: CIBDA 2022
Seiten: 3Sprache: EnglischTyp: PDF
Autoren:
Zhu, Lin; Niu, Wenrui; Tang, Mingwei; Zhao, Ziguo (School of Computer and Software Engineering, Xihua University, Chengdu, China)
Inhalt:
In the subject, the research and analysis of big data individual behavior big data is helpful to the cultivation of students' ability and the improvement of teachers' teaching. This is also one of the key concerns of researchers in this field. This paper presents the modeling and analysis of students' classroom behavior data based on LSTM. The experimental results show that our method is helpful to the cultivation of College Students' ability and the improvement of teachers' teaching.