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Visual Resolve of Modern Educational Technology Based on Artificial Intelligence under the Digital Background
Xueqiong Hong1,2, Lin Wang2
1Gongqing College of Nanchang University, Gongqingcheng 332020, Jiangxi, China.
Computational Intelligence and Neuroscience
|October 3, 2022
Summary
This study introduces a machine learning-based visual management system for modern distance education, improving efficiency and reducing human resource needs in educational technology visualization.
Area of Science:
- Educational Technology
- Computer Science
Background:
- The rapid growth of educational technology and the knowledge-driven era necessitate advanced management systems.
- Traditional e-learning management struggles to meet the demands of modern educational technology due to its openness, dynamism, and flexibility.
- Current visualization systems in educational technology often exhibit low work efficiency, highlighting a need for improved management platforms in distance education.
Purpose of the Study:
- To address the limitations of traditional e-learning management systems.
- To develop a visual modern distance teaching management system model adaptable to the characteristics of openness, dynamics, flexibility, individualization, and decentralization.
- To enhance the efficiency of educational technology visualization and reduce human resource consumption.
Main Methods:
- Introduction of machine learning and BP neural network into educational technology management.
- Establishment of a visual modern distance teaching management system model.
- Application of machine learning algorithms to optimize the visualization process.
Main Results:
- The developed system demonstrates significantly higher efficiency after machine learning-based optimization.
- Experimental results show reduced visualization times for different groups, averaging between 12.27s and 14.32s.
- The system effectively improves visualization efficiency and decreases the demand for human resources in modern distance teaching.
Conclusions:
- Machine learning and BP neural networks offer a viable solution for enhancing the management of modern distance teaching.
- The proposed visual management system effectively addresses the challenges posed by the evolving landscape of educational technology.
- Implementing advanced algorithms can lead to substantial improvements in efficiency and resource allocation within educational technology systems.
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