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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

Research on Application Platform of College English Teaching Based on Hadoop Data Bus

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-63130-6_63,
        author={Lei Shen and Meichun Yang and Wentong Zhang and Haie Jia},
        title={Research on Application Platform of College English Teaching Based on Hadoop Data Bus},
        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={Hadoop data bus English teaching Platform research},
        doi={10.1007/978-3-031-63130-6_63}
    }
    
  • Lei Shen
    Meichun Yang
    Wentong Zhang
    Haie Jia
    Year: 2024
    Research on Application Platform of College English Teaching Based on Hadoop Data Bus
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-63130-6_63
Lei Shen1,*, Meichun Yang1, Wentong Zhang2, Haie Jia3
  • 1: Accounting School, Tong Ling University, Tongling
  • 2: School of Foreign Languages & International Business, Guangdong Mechanical and Electrical Polytechnic
  • 3: Tibet Agricultural and Animal Husbandry College, Nyingchi
*Contact email: SL05622628@163.com

Abstract

We have studied the application platform of college English teaching based on Hadoop data bus. The working principle of college English teaching application research is to use artificial intelligence (AI) to analyze the content of each curriculum plan for learners, and then use this information to create a personalized learning plan with customized exercises. These customized courses are provided through interactive video lectures driven by artificial intelligence, which are synchronized with students’ personal devices or computers so that they can learn at their own pace. The research is divided into four parts: (1) Investigation of existing Hadoop based applications; (2) Develop a prototype application to collect and analyze big data using MapReduce framework in Hadoop; (3) Analyze performance characteristics, such as scalability and throughput; (4) Comparison with other frameworks (such as RDBMS).

Keywords
Hadoop data bus English teaching Platform research
Published
2024-07-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-63130-6_63
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