Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Learning Terminal System Based on the Computer Intelligence English APP

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342872,
        author={Lian  Xue},
        title={Learning Terminal System Based on the Computer Intelligence English APP},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={learning terminal big smart english app system design mvc architecture},
        doi={10.4108/eai.17-11-2023.2342872}
    }
    
  • Lian Xue
    Year: 2024
    Learning Terminal System Based on the Computer Intelligence English APP
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342872
Lian Xue1,*
  • 1: College of Foreign Languages and Literature, Wuhan Donghu University
*Contact email: xuelianxue89@hotmail.com

Abstract

With the innovation of computer technology, the target requirements of online education platforms are constantly improving, and the design and research of learning terminal systems based on the Computer Great Smart English APP (Application) is becoming increasingly important. In the construction of the entire learning terminal system, how to improve the course learning efficiency of the system and improve the retrieval delay of learning resources is an important research that urgently needs to be addressed at present. This article summarized the advantages of the current learning terminal system through relevant research, combined with the main functional characteristics of the Computer Smart English APP, and utilized the MVC (Model View Controller) system architecture to apply on the learning terminal platform. The conclusion is as follows: Six subject samples were selected through simulation experiments, and the learning terminal system based on the Great Wisdom English APP improved learning resource retrieval compared to traditional learning platforms, with a comprehensive average decrease of about 15ms. At the same time, there were also improvements in course learning efficiency, with a comprehensive average increase of about 8.2%. This indicates that the learning terminal improvement system based on the Great Wisdom English APP has good results in practical applications