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Investigation on the Distribution Characteristics of Chinese Continuing Education Based on the Community Detection
Yuping Lai1, Qin Yuan2, Qinming Yu3
1School of Foreign Language and Trade, JiangXi University of Engineering, Xinyu, Jiangxi 338000, China.
Computational Intelligence and Neuroscience
|September 6, 2022
Summary
Complex network technology reveals that Chinese continuing education exhibits scale-free and small-world characteristics, enhancing information dissemination. This research suggests optimizing adult education projects and research for improved quality and speed.
Area of Science:
- Education Technology
- Network Science
- Adult Learning
Background:
- Continuing education requires integration with adult learning principles and modern teaching models in a networked environment.
- Analyzing the complexity of continuing education is crucial for optimizing its delivery and impact.
- Traditional approaches may not fully leverage the potential of digital platforms for adult learning.
Purpose of the Study:
- To analyze the complexity of Chinese continuing education using complex network technology.
- To identify the network characteristics of continuing education systems.
- To propose strategies for improving the speed and quality of continuing education through network algorithms.
Main Methods:
- Application of complex network theory, including vertex degree distribution, average path length, and clustering coefficient analysis.
- Utilizing community detection algorithms to understand network structures.
- Employing the ant colony algorithm to abstract information dissemination paths.
Main Results:
- Chinese continuing education demonstrates scale-free and small-world network characteristics.
- Relationship strength analysis indicates significant impact on information dissemination speed, scope, interpretation, and application.
- Complex network algorithms effectively enhance the speed and quality of continuing education delivery.
Conclusions:
- The structure of continuing education networks supports efficient information flow.
- Government initiatives should focus on increasing adult education projects, diversifying research, and balancing regional disparities.
- Integrating applied and basic research is essential for advancing adult education.
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