@article{4493,
  author = {Qiu Jing},
  title = {Design of University English Teaching Effect Evaluation Method based on Intelligent Algorithms},
  journal = {International Journal of Computational Linguistics Research},
  year = {2025},
  volume = {16},
  number = {2},
  doi = {https://doi.org/10.6025/ijclr/2025/16/2/47-55},
  url = {https://www.dline.info/jcl/fulltext/v16n2/jclv16n2_1.pdf},
  abstract = {With the rapid development of artificial intelligence technology, the design of evaluation methods for university English teaching effects based on intelligent algorithms has become a hot topic. To reduce evaluation errors in English teaching effects, a university English teaching effect evaluation method is proposed by combining intelligent algorithms. First, English teaching evaluation data is collected, and an intelligent selection of evaluation indicators within a calibrated scope is made. A versatile intelligent algorithm teaching effect evaluation model is established, using a stepwise target evaluation method for implementation. Through testing, it was found that the algorithm designed can effectively reduce the errors in teaching evaluation, even reducing them to below 1.5. This indicates that it can significantly enhance the overall evaluation accuracy.},
}