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The Influence of Multimedia Input Mode Based on Complex System Discrete Model on College Students’ English Ability

Author

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  • Xiaoge Wang
  • Weihong Zhao
  • Yuanyuan Xu
  • Gengxin Sun

Abstract

With the rapid development of the Internet, the amount of data increases sharply. In this network age, data have been generated, such as multimedia, social networks, and search records. Due to the generation of data, complex system discrete model technology is also widely used in all walks of life. Multimedia learning is a popular teaching mode in the world. Through the discrete model technology of the complex system, this paper deeply studies the impact of multimedia input on college students’ English ability. Because the modeling and sampling of complex systems are abstract and not fixed, approximation and control methods are adopted in discrete time, which greatly improves the reliability of the final research results. Compared with the original discrete modeling technology, this paper adds data sampling compression and assimilation technology on the basis of the original discrete modeling technology of the complex system. The results show that, by adding the technical application of controllable and observable systems, the discrete model of the whole complex system can reduce the error of the final output data. At the same time, this paper compresses and simplifies the data nodes at the microlevel. Macroscopically, it reduces the scale, especially the number of node data compression. The final result also realizes the data scale and greatly shortens the calculation time. This study has greatly improved the accuracy of the impact of multimedia on Chinese college students’ English ability in practical application.

Suggested Citation

  • Xiaoge Wang & Weihong Zhao & Yuanyuan Xu & Gengxin Sun, 2021. "The Influence of Multimedia Input Mode Based on Complex System Discrete Model on College Students’ English Ability," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-9, October.
  • Handle: RePEc:hin:jnddns:2872138
    DOI: 10.1155/2021/2872138
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