@article{4385,
  author = {Sun Lifang, Liu Yuan},
  title = {Application of AI-based Visual Analysis Technology in Vocational College Electronic Technology Teaching Evaluation},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2025},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jmpt/2025/16/1/28-35},
  url = {https://www.dline.info/jmpt/fulltext/v16n1/jmptv16n1_4.pdf},
  abstract = {Using a sliding window combined with heterogeneous multi-column convolutional neural networks, we found
that this new evaluation tool has higher accuracy than traditional evaluation tools and can provide more
comprehensive evaluation information. This new evaluation tool can effectively improve teaching efficiency
and provide more comprehensive evaluations. Advanced computer vision analysis technology can quickly
collect and process valuable classroom information and convey it to teachers and peers in real-time, effectively
motivating their participation and promoting their learning, ultimately achieving the best educational
outcomes.},
}