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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I

Research Article

Research on Design of English Teaching Resource Management System Based on Collaborative Recommendation

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-23950-2_68,
        author={Huang Hua},
        title={Research on Design of English Teaching Resource Management System Based on Collaborative Recommendation},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2023},
        month={1},
        keywords={Business English Decision tree Practical teaching Effectiveness evaluation},
        doi={10.1007/978-3-031-23950-2_68}
    }
    
  • Huang Hua
    Year: 2023
    Research on Design of English Teaching Resource Management System Based on Collaborative Recommendation
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-23950-2_68
Huang Hua1,*
  • 1: Changde Vocational Technical College, Changde
*Contact email: 935748819@qq.com

Abstract

The design of English teaching resource management system based on collaborative recommendation is a research aimed at designing and implementing an e-learning environment for teachers to recommend materials to students. The main purpose of this study is to develop a recommendation system to help teachers recommend textbooks with high efficiency and quality. This study also aims to develop an effective recommendation system to improve the quality of students’ English learning materials. Researchers are interested in finding out what recommendations can be made by using collaborative recommendation systems (such as wikis or social networks) and how to use these tools to improve.

Keywords
Business English Decision tree Practical teaching Effectiveness evaluation
Published
2023-01-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-23950-2_68
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