Analysis of computer teaching pattern based on outlier data mining and machine learning

Issue title: Fuzzy model for human autonomous computing in extreme surveillance and it’s applications

Guest editors: Varatharajan Ramachandran

Article type: Research Article

Authors: Huafeng, Li^{; *}

Affiliations: Inner Mongolia Ethnic College of Preschool Teachers, Ordos, China

Correspondence: [*] Corresponding author. Li Huafeng, Inner Mongolia Ethnic College of Preschool Teachers, Ordos, China. E-mail: lihuafeng678435@163.com.

Abstract: Under the background of the development of the new era, with the arrival of the big data era and the development of computer technology, people are more and more inclined to use data to analyze all kinds of problems encountered in teaching. Different educational data models are constructed through data analysis. By statistics of different educational data and analysis using correlation models, the relationship between different variables and the intensity of interaction in these activities can be determined. Using computer to complete some teaching tasks and construct a certain teaching mode can improve the efficiency of teachers’ teaching and students’ learning to a certain extent. In the process of discussing the use of computer in classroom teaching, we should analyze how to use computer to carry out new forms of teaching activities and how to evaluate the teaching quality of computer teaching. On the one hand, this paper summarizes the current situation of the development of digital teaching mode in colleges and universities in China; on the other hand, it analyzes the research results of computer teaching by professionals in the new era; Finally, the knowledge of data mining is expounded.

Keywords: Data mining, web database, cloud computing network, smart campus

DOI: 10.3233/JIFS-189511

Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6779-6789, 2021