Application of Artificial Intelligence Technology in Personalized Online Teaching under the Background of Big Data. Issue 4 (February 2021)

• Record Type: Journal Article
• Authors: Chen, Lujun
• Is Part Of: Journal of physics. Volume 1744:Issue 4(2021)
• Publication Date: 2021-02
• Subjects: Big Data -- Artificial Intelligence Technology -- Personalized Online Teaching -- Teaching Platform Design; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1744/4/042208
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Big data technology allows you to extract laws from large amounts of data. Through various industry practices, data mining, classification and analysis of large amounts of data can provide effective reference for decision-making. The same is true for the education industry. The introduction of data mining technology online education platform can effectively improve students' learning efficiency and education management level. In this article, I will mainly introduce the application of artificial intelligence technology in personalized online education in the context of big data. In this article, we apply constructive theory and big data technology to the online education system, and define some general education models for the current status of online education. The model monitors the learning process of students, adjusts educational strategies according to the characteristics of each student, and enables students to receive appropriate training to understand their personal information. Through the analysis of the experiment, it can be concluded that the personalized online education platform under the background of big data has been significantly improved. From a specific point of view, in the context of artificial intelligence, the number of users has increased by 9%.