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English teaching system design based on ID3 algorithm and node optimization.

Wangmeng Jiang1, Qiang Ma2

  • 1Faculty of Humanities and Social Sciences, Beijing University of Technology, Beijing, China.

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Summary
This summary is machine-generated.

This study introduces a new platform for sharing English teaching resources (ETR) using multimedia. The system optimizes resource integration and delivery, improving sharing speed and recommendation accuracy for educators.

Keywords:
ETRHybrid recommendation algorithmID3 information gain methodMultimedia resourcesResource sharing platform

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Area of Science:

  • Educational Technology
  • Computer Science

Background:

  • Optimizing English multimedia resource integration is crucial for sharing English teaching resources (ETR) in education.
  • The COVID-19 pandemic highlights the need for effective ETR sharing platforms.
  • Traditional college English curriculum systems require reconstruction to meet modern demands.

Purpose of the Study:

  • To design and evaluate an English multimedia teaching resource-sharing platform.
  • To reconstruct the college English curriculum system for better resource integration.
  • To enhance the sharing speed and utilization rate of ETR.

Main Methods:

  • Utilizing the ID3 information gain method to extract feature items from multimedia ETR.
  • Constructing a decision tree for efficient resource push mechanisms.
  • Implementing a structured peer-to-peer network for resource management and sharing.
  • Employing a collaborative filtering (CF) algorithm for personalized ETR recommendations.
  • Selecting optimal gateway nodes based on distance calculations.

Main Results:

  • The developed platform demonstrates improved sharing speed and utilization rates for teaching resources.
  • Maximum throughput reached 12 Mb/s, indicating efficient data transfer.
  • The system achieves accurate recommendations of multimedia ETR to users.
  • The reconstructed curriculum integrates public health teaching resources into professional English modules.

Conclusions:

  • The designed platform effectively optimizes the integration and sharing of English multimedia teaching resources.
  • The system enhances the efficiency and accuracy of ETR delivery and recommendation.
  • This approach supports the ongoing reform of English language teaching in educational settings.