Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29–31, 2024, Wuhan, China

Research Article

The Effective Integration of Information Technology in Higher Education English Teaching in the Context of the Internet+

Download51 downloads
  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347629,
        author={Lei  Zhao},
        title={The Effective Integration of Information Technology in Higher Education English Teaching in the Context of the Internet+},
        proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={EIMT},
        year={2024},
        month={6},
        keywords={internet+; higher education english teaching; information technology;user profiles; knowledge graph; deep learning},
        doi={10.4108/eai.29-3-2024.2347629}
    }
    
  • Lei Zhao
    Year: 2024
    The Effective Integration of Information Technology in Higher Education English Teaching in the Context of the Internet+
    EIMT
    EAI
    DOI: 10.4108/eai.29-3-2024.2347629
Lei Zhao1,*
  • 1: Chongqing College Of Architecture and Technology Chongqing
*Contact email: 247942920@qq.com

Abstract

In the context of the Internet+, this research aims to explore the systematic requirements for the deep integration of information technology into higher education English teaching. A model of an adaptive English learning system based on user profiles and knowledge graphs is constructed. This model employs modular system architecture design and algorithm-driven approaches to achieve functions such as online resource development, environmental adaptation, and intelligent interaction. The study demonstrates that the system can effectively manage a vast amount of online learning resources, create precise personalized user profiles, and provide adaptive learning path recommendations based on advanced deep learning and reinforcement learning algorithms. Test results indicate that this model architecture exhibits good scalability and fault tolerance, enhancing resource utilization efficiency and interaction experience. Overall, this research provides a practical technological path and system implementation solution for the transformation and upgrade of current higher education English teaching models. However, it should be noted that the transformation of teaching concepts and methods requires systematic promotion, and further exploration and practice are expected.