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<p>Digital technology has not only changed people’s state of being and way of thinking but also shaped a brand new pattern of thought and communication. Based on the structural equation model, this paper analyzes the communication subject, communication audience, communication environment, communication media, and communication content of Marxist theory education in colleges and universities, as well as the specific process of interactive communication and information feedback between the communication subject and the communication audience relying on digital media. The Tikhonov regularization method is used to improve the likelihood estimation method in SEM, leading to the construction of a model of Marxist education in colleges and universities based on SEM. Finally, the relationship between the variables of Marxist communication among college students and the influence of digitalization on their attitudes towards Marxist communication among college students is explored. The results show that the maximum degree of influence of socialist ideology construction on Marxist communication is 0.273, and the standardized path coefficient of the use of digital communication platforms on their communication attitude is 0.281, which is a significant result. The dissemination of Marxist education theory in colleges and universities can be positively influenced by this study’s use of digital communication.</p>
</abstract>

Digital technology has not only changed people’s state of being and way of thinking but also shaped a brand new pattern of thought and communication. Based on the structural equation model, this paper analyzes the communication subject, communication audience, communication environment, communication media, and communication content of Marxist theory education in colleges and universities, as well as the specific process of interactive communication and information feedback between the communication subject and the communication audience relying on digital media. The Tikhonov regularization method is used to improve the likelihood estimation method in SEM, leading to the construction of a model of Marxist education in colleges and universities based on SEM. Finally, the relationship between the variables of Marxist communication among college students and the influence of digitalization on their attitudes towards Marxist communication among college students is explored. The results show that the maximum degree of influence of socialist ideology construction on Marxist communication is 0.273, and the standardized path coefficient of the use of digital communication platforms on their communication attitude is 0.281, which is a significant result. The dissemination of Marxist education theory in colleges and universities can be positively influenced by this study’s use of digital communication.

Digital Communication Pathways of Marxist Theory Education in Colleges and Universities in the Context of the Internet

Applied Mathematics and Nonlinear Sciences

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

Digital technology has not only changed people’s state of being and way of thinking but also shaped a brand new pattern of thought and communication. Based on...

Digital Communication Pathways of Marxist Theory Education in Colleges and Universities in the Context of the Internet

Publicado en línea: 31 ene 2024

Páginas: -

Recibido: 20 dic 2023

Aceptado: 26 dic 2023

DOI: https://doi.org/10.2478/amns-2024-0192

Palabras clave
Structural equation modeling, Digital media, Tikhonov regularization, Great likelihood estimation method, Marxism

© 2024 Shimin Xie, published by Sciendo

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

Digital Communication Pathways of Marxist Theory Education in Colleges and Universities in the Context of the Internet

Publicado en línea: 31 ene 2024

Páginas: -

Recibido: 20 dic 2023

Aceptado: 26 dic 2023

DOI: https://doi.org/10.2478/amns-2024-0192

Palabras claveStructural equation modeling, Digital media, Tikhonov regularization, Great likelihood estimation method, Marxism

© 2024 Shimin Xie, published by Sciendo

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

Palabras clave
Structural equation modeling, Digital media, Tikhonov regularization, Great likelihood estimation method, Marxism