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Construction and Implementation of Marxist Learning Platform in New Media Environment
Lina Deng1, Fuguo Zhang1, Bo Yang2
1Department of Marxism, Northeast Normal University, Changchun 130024, China.
Journal of Environmental and Public Health
|September 12, 2022
Summary
This study introduces a new data mining algorithm to enhance the popularization of Marxism in the new media era. The algorithm improves learning plan customization and demonstrates superior performance in clustering accuracy and execution time.
Area of Science:
- Social Sciences
- Political Science
- Information Science
Background:
- The popularization of contemporary Chinese Marxism is crucial for the development of socialism with Chinese characteristics.
- The new media environment presents both challenges and opportunities for disseminating Marxist ideology.
Purpose of the Study:
- To examine the necessity and reality of popularizing Marxism in the new media era.
- To explore new development needs for Marxist propaganda.
- To develop a data mining-based platform for Marxist learning.
Main Methods:
- Analysis of the popularization of Marxism in the new media environment.
- Development of a Marxist learning platform utilizing data mining technology.
- Evaluation of a novel algorithm for clustering accuracy and execution efficiency.
Main Results:
- The developed algorithm exhibits high clustering accuracy and a recall rate approximately 6% higher than DECluster.
- The algorithm demonstrates faster execution times compared to existing methods.
- The algorithm can analyze user learning records and interests to create personalized Marxism learning plans.
Conclusions:
- The new media era necessitates innovative approaches to popularize Marxism.
- Data mining technology can effectively support personalized Marxist education.
- The proposed algorithm offers a superior and efficient method for enhancing Marxist learning experiences.
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