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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I

Research Article

Implementation of Online + Offline Hybrid System for Tourism English Teaching Based on Sparse Clustering Algorithm

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-63130-6_30,
        author={Shan Wang},
        title={Implementation of Online + Offline Hybrid System for Tourism English Teaching Based on Sparse Clustering Algorithm},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2024},
        month={7},
        keywords={Sparse clustering algorithm Tourism English education Hybrid system},
        doi={10.1007/978-3-031-63130-6_30}
    }
    
  • Shan Wang
    Year: 2024
    Implementation of Online + Offline Hybrid System for Tourism English Teaching Based on Sparse Clustering Algorithm
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-63130-6_30
Shan Wang1,*
  • 1: Shandong Institute of Commerce and Technology, Jinan
*Contact email: wsybel19780803@163.com

Abstract

With the continuous improvement of the message technique era, the Internet has gradually changed people's learning style. Blended learning mode has become a research hotspot of the organic combination of digital learning and classroom education. More and more education resources are integrated and utilized. By organically combining traditional learning with online learning, the institutional situation of educational informatization is gradually improved, and blended learning is formed, so as to realize students’ initiative, enthusiasm and creativity as subjects in the learning process. The means adopted in this paper is sparse clustering algorithm, and more and more people begin to pay attention to the necessity of studying the clustering technique of high-dimensional data sets. Faced with high-dimensional data sets, people usually adopt the means of feature selection and dimension reduction to deal with them. The rows in the data matrix are regarded as independent and multivariate data objects, and these data objects are generated by a mixed model with several elements. Through the research in this paper, blended education is superior to traditional education, and it is suitable to be widely put into practice.

Keywords
Sparse clustering algorithm Tourism English education Hybrid system
Published
2024-07-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-63130-6_30
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