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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Distance Teaching Method of Welding Process Course for Mobile Learning Platform

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_14,
        author={Juan Song and Liang Song},
        title={Distance Teaching Method of Welding Process Course for Mobile Learning Platform},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Mobile learning platform Welding processing courses Distance learning Teaching methods Collaborative filtering Firefly algorithm},
        doi={10.1007/978-3-031-28787-9_14}
    }
    
  • Juan Song
    Liang Song
    Year: 2023
    Distance Teaching Method of Welding Process Course for Mobile Learning Platform
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_14
Juan Song1,*, Liang Song1
  • 1: Jiangsu Province Xuzhou Technician Institute
*Contact email: sj18952150665@163.com

Abstract

The current distance teaching method is mainly to complete the explanation of basic knowledge by recording course video, students’ autonomous learning or with the help of remote communication function. It is difficult for students to fully mobilize their enthusiasm, resulting in poor teaching effect. In order to alleviate the problems of inapplicability and poor teaching effect when the current distance teaching method is applied to welding processing course, this research designs a distance teaching method of welding processing course for mobile learning platform. According to the characteristics of mobile learning platform, the communication path of distance teaching of welding processing course is determined. Then formulate the 5E Teaching Mode and design the teaching process of the course distance teaching platform. Finally, collaborative filtering algorithm and firefly algorithm are used to recommend personalized mobile learning resources for students and generate course learning paths. The experiment shows that after applying this method, the average score of students is improved by about 9.2%, and their learning enthusiasm is significantly enhanced.

Keywords
Mobile learning platform Welding processing courses Distance learning Teaching methods Collaborative filtering Firefly algorithm
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_14
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