Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

Cloud Computing Based Big Data Improves the Teaching of College Marxist Theory

Authors
Yang Yang1, Zhenhong Liu1, *
1School of Marxism, Wannan Medical College, Wuhu, 241002, Anhui, China
*Corresponding author. Email: zhliu2006@wnmc.edu.cn Email: 13121682@bjtu.edu.cn
Corresponding Author
Zhenhong Liu
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_4How to use a DOI?
Keywords
Big Data; Cloud computing; computer technology integration; teaching satisfaction; comparative research
Abstract

Purpose: With the rapid development of science and technology, we have entered the times of Big Data. In the new era, Big Data technology should be used to optimize the methods of Marxist theoretical education, to promote the Marxist theoretical education to a new level. The application and role of the application of Big Data in the education of Marxist theory is remained unclear. Method: The present study integrates the Internet of Things and Cloud Computing into the big data platform through computer technology, and then relies on that Big Data platform to carry out the teaching of Marxist theory courses. Results: By comparing the course satisfaction and course performance of students given traditional teaching and Big Data teaching at different levels, it is found that the course performance and satisfaction of all students receiving Big Data teaching have significantly improved, and the results of correlation analysis show that the higher the proportion of big data teaching, the higher the students’ course performance, the higher the satisfaction, and the lower the failure rate. Conclusion: The present research for first time concluded that Big Data teaching plays a significant role in improving students’ curriculum satisfaction, reducing the failure rate, and improving curriculum performance through comparative research and correlation analysis.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
978-94-6463-238-5
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yang Yang
AU  - Zhenhong Liu
PY  - 2023
DA  - 2023/09/26
TI  - Cloud Computing Based Big Data Improves the Teaching of College Marxist Theory
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 19
EP  - 25
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_4
DO  - 10.2991/978-94-6463-238-5_4
ID  - Yang2023
ER  -