<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the Internet era, the combination of traditional Chinese culture and the teaching of Chinese language and literature has become an important topic of education reform, and exploring its innovative mode is of great significance for the inheritance of culture and the enhancement of teaching effect. The study adopts the independent cooperation mode, builds a new cultural position based on the Internet, and adds classroom practice links to enhance the teaching effect. The teaching activities are designed based on the framework of self-study before class, interaction during class, and summarization after class. In addition, this study uses fuzzy C-mean clustering and multiple regression analysis to mathematically model educational data and deeply analyze the influencing factors of teaching quality. Teaching experiments showed that the reformed teaching model significantly improved students’ performance, and the average grade of students increased by 9.6130 points compared with the traditional teaching model. In addition, multiple regression analysis revealed that course completion, learning engagement and teaching interaction significantly affected students’ performance. The results of this study are of practical significance for promoting the innovative development of teaching Chinese language and literature.</p>
</abstract>

In the Internet era, the combination of traditional Chinese culture and the teaching of Chinese language and literature has become an important topic of education reform, and exploring its innovative mode is of great significance for the inheritance of culture and the enhancement of teaching effect. The study adopts the independent cooperation mode, builds a new cultural position based on the Internet, and adds classroom practice links to enhance the teaching effect. The teaching activities are designed based on the framework of self-study before class, interaction during class, and summarization after class. In addition, this study uses fuzzy C-mean clustering and multiple regression analysis to mathematically model educational data and deeply analyze the influencing factors of teaching quality. Teaching experiments showed that the reformed teaching model significantly improved students’ performance, and the average grade of students increased by 9.6130 points compared with the traditional teaching model. In addition, multiple regression analysis revealed that course completion, learning engagement and teaching interaction significantly affected students’ performance. The results of this study are of practical significance for promoting the innovative development of teaching Chinese language and literature.

Reform and Innovation of Chinese Language and Literature Teaching in the Perspective of Chinese Traditional Culture in the Internet Era

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the Internet era, the combination of traditional Chinese culture and the teaching of Chinese language and literature has become an important topic of...

Reform and Innovation of Chinese Language and Literature Teaching in the Perspective of Chinese Traditional Culture in the Internet Era

Published Online: Feb 26, 2024

Page range: -

Received: Jan 15, 2024

Accepted: Jan 25, 2024

DOI: https://doi.org/10.2478/amns-2024-0634

Keywords
Chinese language and literature, Autonomous cooperation, Fuzzy C-mean clustering, Multiple regression analysis

© 2023 Mina Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Reform and Innovation of Chinese Language and Literature Teaching in the Perspective of Chinese Traditional Culture in the Internet Era

Published Online: Feb 26, 2024

Page range: -

Received: Jan 15, 2024

Accepted: Jan 25, 2024

DOI: https://doi.org/10.2478/amns-2024-0634

KeywordsChinese language and literature, Autonomous cooperation, Fuzzy C-mean clustering, Multiple regression analysis

© 2023 Mina Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Chinese language and literature, Autonomous cooperation, Fuzzy C-mean clustering, Multiple regression analysis