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

<p>With the rapid development and updating of information technology and the gradual increase of economic and social influence, the Chinese language, as an important discipline in China’s higher education, has undergone a great transformation in its teaching conditions and teaching environment in the information age. To obtain more reliable information and better reform and innovation, this paper analyzes the machine model established based on information fusion and investigates the employment situation of Chinese language and literature graduates in university colleges and universities in the past five years to analyze the improvement of employment under the information fusion model establishment. The results show that the teaching process of Chinese language and literature can be well optimized through the machine learning model and is no longer homogeneous compared with the traditional teaching process of Chinese language and literature. The information fusion model can provide a certain degree of help in the employment of students in this major. Therefore, the introduction of information fusion technology is indispensable in the process of reform and innovation of the Chinese language and literature, and schools should also increase relevant courses and policies to encourage college students to actively cooperate with the reform and practice process.</p>
</abstract>

With the rapid development and updating of information technology and the gradual increase of economic and social influence, the Chinese language, as an important discipline in China’s higher education, has undergone a great transformation in its teaching conditions and teaching environment in the information age. To obtain more reliable information and better reform and innovation, this paper analyzes the machine model established based on information fusion and investigates the employment situation of Chinese language and literature graduates in university colleges and universities in the past five years to analyze the improvement of employment under the information fusion model establishment. The results show that the teaching process of Chinese language and literature can be well optimized through the machine learning model and is no longer homogeneous compared with the traditional teaching process of Chinese language and literature. The information fusion model can provide a certain degree of help in the employment of students in this major. Therefore, the introduction of information fusion technology is indispensable in the process of reform and innovation of the Chinese language and literature, and schools should also increase relevant courses and policies to encourage college students to actively cooperate with the reform and practice process.

Innovative reform strategy of Chinese language and literature education practice for college students based on information fusion technology

Applied Mathematics and Nonlinear Sciences

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

With the rapid development and updating of information technology and the gradual increase of economic and social influence, the Chinese language, as an...

Innovative reform strategy of Chinese language and literature education practice for college students based on information fusion technology

Online veröffentlicht: 08. Mai 2023

Seitenbereich: -

Eingereicht: 06. Mai 2022

Akzeptiert: 31. Okt. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00236

Schlüsselwörter
Information fusion technology, Chinese language and literature, machine learning, reform, innovation

© 2023 Xiao Zeng, published by Sciendo

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

Innovative reform strategy of Chinese language and literature education practice for college students based on information fusion technology

Online veröffentlicht: 08. Mai 2023

Seitenbereich: -

Eingereicht: 06. Mai 2022

Akzeptiert: 31. Okt. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00236

SchlüsselwörterInformation fusion technology, Chinese language and literature, machine learning, reform, innovation

© 2023 Xiao Zeng, published by Sciendo

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

Schlüsselwörter
Information fusion technology, Chinese language and literature, machine learning, reform, innovation