@article{3819,
  author = {Tang Jun},
  title = {Employing Multimedia Content Networks for English Teaching Systems},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2023},
  volume = {14},
  number = {3},
  doi = {https://doi.org/10.6025/jmpt/2023/14/3/69-77},
  url = {https://www.dline.info/jmpt/fulltext/v14n3/jmptv14n3_2.pdf},
  abstract = {This article studies the teaching mode of college English in a network environment based on genetic algorithms and multimedia technology. With the development of information technology, the online environment provides new opportunities and challenges for English teaching. In this environment, students can access more learning resources, but at the same time, they also need to have a certain level of information literacy and learning ability. Therefore, exploring teaching models that adapt to this environment has important practical significance. The study adopted methods based on genetic algorithms and multimedia technology to analyze the English learning process in a network environment and develop a teaching plan more aligned with students' needs. This plan fully considers factors such as students' learning styles and cognitive levels and adopts various teaching strategies, such as situational and cooperative learning. At the same time, the study also utilizes multimedia technologies such as speech recognition and artificial intelligence to provide students with a more personalized and intelligent learning experience. This teaching model improves students' English proficiency and cultivates their autonomous and cooperative learning abilities.},
}