@article{4352,
  author = {Aibing Wang,Yapeng Liu,Lu Chen,Huaxin Zhang},
  title = {Construction of a Vocational Education Teaching Quality Governance System based on Genetic Algorithm},
  journal = {Journal of E-Technology},
  year = {2025},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jet/2025/16/1/1-9},
  url = {https://www.dline.info/jet/fulltext/v16n1/jetv16n1_1.pdf},
  abstract = {This paper addresses issues in the governance of vocational education teaching quality and proposes a construction
method for a governance system based on a genetic algorithm. Both domestically and internationally,
research progress has shown some important advancements in the governance of vocational education
teaching quality, including the design of evaluation indicator systems and governance strategies. By analyzing
the current challenges and demands in vocational education teaching quality and the advantages of genetic
algorithms in optimization problems, this study constructs a governance system with the genetic algorithm
as its core. This system aims to optimize vocational education teaching quality, enhance educational
effectiveness, and achieve these goals by establishing a rational evaluation indicator system, formulating
effective governance strategies, and implementing mechanisms.},
}