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Optimization of English Grammar Expression Based on the Discrete Dynamic Analysis Algorithm.

Yuzheng Gao1, Hongli Chen1

  • 1School of Foreign Languages, Handan University, Handan, Hebei 056000, China.

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Summary
This summary is machine-generated.

This study uses complex system dynamic modeling to analyze English functional grammar development. Findings show dynamic modeling effectively improves English listening skills and predicts grammar

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Area of Science:

  • Linguistics
  • Educational Technology
  • Complex Systems Analysis

Background:

  • English grammar functions evolve differently across language environments.
  • Traditional modeling struggles with the complexity of big data in language learning.
  • Understanding the dynamic path of English functional grammar is crucial for effective teaching.

Purpose of the Study:

  • To investigate discrete dynamic modeling for analyzing English functional grammar in big data environments.
  • To explore the influence of functional grammar on English listening teaching.
  • To develop a predictive model for English proficiency improvement based on grammar.

Main Methods:

  • Applied discrete dynamic modeling to complex systems.
  • Utilized big data analytics for processing language learning information.
  • Employed predictive analysis to assess the impact of functional grammar on listening skills.

Main Results:

  • Dynamic modeling accurately processes big data relevant to English functional grammar.
  • The study identified a strong correlation between functional grammar and English achievement.
  • A dynamic prediction model demonstrated effectiveness in improving English proficiency.

Conclusions:

  • Complex system dynamic modeling facilitates the advancement of functional grammar in English teaching.
  • This approach provides a robust foundation for future grammar research.
  • The developed dynamic prediction model accurately forecasts the impact of grammar on language skills.