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Artificial Intelligence System Detection in English Teaching Based on Heuristic Genetic Algorithm.

Jingwei Tang1,2, Yi Deng3

  • 1Chongqing Technology and Business University, Chongqing, China.

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This study introduces an AI-assisted English teaching system using a novel genetic algorithm (GMOGA) to enhance oral communication practice and teaching efficiency. The system improves human-computer interaction, offering a more effective alternative to traditional methods.

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Area of Science:

  • Artificial Intelligence
  • Computational Linguistics
  • Educational Technology

Background:

  • Traditional English teaching methods struggle with effective error correction and human-computer interaction in oral communication.
  • Existing systems lack the adaptability and efficiency required for personalized language learning.

Purpose of the Study:

  • To develop an artificial intelligence-assisted teaching system for English language learning.
  • To enhance oral English detection and improve overall teaching efficiency.
  • To introduce a novel, flexible genetic algorithm (GMOGA) for improved system performance.

Main Methods:

  • Development of an AI-assisted teaching system integrating heuristic genetic algorithms.
  • Extension of the multioffspring genetic algorithm to create GMOGA, enhancing offspring generation flexibility.
  • Construction of the AI system's functional structure based on practical teaching needs.
  • Design and execution of comparative experiments to validate the system's performance.

Main Results:

  • The developed AI system effectively addresses the limitations of traditional English teaching modes.
  • GMOGA demonstrated improved efficiency and flexibility in algorithm parameter selection.
  • Experimental results confirmed the system's multifunctional capabilities and practical applicability.
  • Enhanced human-computer interaction was observed, facilitating better oral English practice.

Conclusions:

  • The AI-assisted teaching system, powered by GMOGA, offers a significant improvement over traditional methods.
  • The system provides a flexible and efficient platform for English language acquisition.
  • The research validates the practical utility and effectiveness of the proposed AI model in educational settings.