Research on Classroom Teaching Quality Evaluation and Feedback System Based on Big Data Analysis

被引：4

作者：

Zhang, Yuankui ^{[1
]}

Gao, Jing ^{[2
]}

机构：

[1] Zhengzhou Presch Educ Coll, Educ & Teaching Dept, Zhengzhou 450099, Peoples R China

[2] Guangxi Univ, Sch Business, Nanning 530004, Peoples R China

来源：

SCIENTIFIC PROGRAMMING | 2022年 / 2022卷

关键词：

COMPONENT ANALYSIS;

D O I：

10.1155/2022/7870113

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

With the development of information technology, the era of big data has gradually entered classroom teaching, and the evaluation of students' learning quality and classroom teaching efficiency has been widely concerned. In order to further improve the quality of classroom teaching in colleges and universities, this paper analyzes the classroom teaching quality evaluation and feedback system based on the big data. Principal component analysis is used to analyze the evaluation index of classroom teaching quality and feedback information to apartment. Through the study of education quality estimate and feedback system under big data, the feedback mechanism of classroom teaching quality evaluation is improved to achieve high-quality and efficient teaching.

引用

页数：13

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