@article{4014,
  author = {Wang Jin},
  title = {Application Analysis of Improving English Teaching Quality Based on PSO Algorithm},
  journal = {Journal of Intelligent Computing},
  year = {2024},
  volume = {15},
  number = {2},
  doi = {https://doi.org/10.6025/jic/2024/15/2/59-67},
  url = {https://www.dline.info/jic/fulltext/v15n2/jicv15n2_4.pdf},
  abstract = {With the acceleration of globalization, English, as the universal language for international communication, has become increasingly important in the field of education. This article studies the application analysis of particle swarm optimization algorithm (PSO) based on English teaching quality improvement. The aim is to use the PSO algorithm to optimize the English teaching process and improve teaching quality. This article first introduces the basic principle of the PSO algorithm and English teaching quality evaluation indicators and then elaborates on how to apply the PSO algorithm to the process of improving English teaching quality, including teaching plans, classroom teaching, extracurricular tutoring, and teaching evaluation. Finally, the effectiveness and feasibility of the English teaching quality improvement method based on the PSO algorithm were verified through experiments.},
}