@article{4354,
  author = {Zhe Zhang},
  title = {Effectiveness Evaluation of Online Interactive Mode for College English: A Perspective Based on Big Data Analysis},
  journal = {Journal of E-Technology},
  year = {2025},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jet/2025/16/1/27-34},
  url = {https://www.dline.info/jet/fulltext/v16n1/jetv16n1_4.pdf},
  abstract = {Online interactive teaching mode is one of the important ways for modern universities to achieve effective
teaching. To enhance the reliability of the effectiveness evaluation of online interactive teaching mode, this
paper constructs a college English online interactive mode effectiveness evaluation model based on big data
mining algorithms. The model achieves effective data preprocessing and results inthe ranking of evaluation
data based on the teaching effectiveness evaluation system. The experimental results show that the proposed
English online interactive mode effectiveness evaluation model has lower evaluation result error, better reliability,
authenticity, and flexibility, and better fits the actual evaluation results of the English online interactive
mode.},
}