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e-Learning, e-Education, and Online Training. 9th EAI International Conference, eLEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part I

Research Article

Multi Agent Based Network Collaborative Learning Support System for Mathematics Curriculum

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-51465-4_14,
        author={Jufen Diao and Songting Zhang},
        title={Multi Agent Based Network Collaborative Learning Support System for Mathematics Curriculum},
        proceedings={e-Learning, e-Education, and Online Training. 9th EAI International Conference, eLEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2024},
        month={1},
        keywords={Multi-Agent Mathematics Curriculum Network Support System MYC-J335X-V2 Core Board System Architecture Information Interaction},
        doi={10.1007/978-3-031-51465-4_14}
    }
    
  • Jufen Diao
    Songting Zhang
    Year: 2024
    Multi Agent Based Network Collaborative Learning Support System for Mathematics Curriculum
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-51465-4_14
Jufen Diao1,*, Songting Zhang2
  • 1: Changzhou College of Information Technology
  • 2: Fuyang Normal University
*Contact email: djf20233@163.com

Abstract

In the process of designing the learning support system, due to the low interaction flexibility between different modules, the running performance of the system is difficult to meet the application requirements under the condition of multi-user parallelism. Therefore, this paper proposes the design and research of multi-agent based mathematics curriculum network collaborative learning support system. The MYC-J335X-V2 core board equipped with TI AM335X processor and ARM Cortex-A8 core is used as the carrier of system development, ensuring that the running performance meets the application requirements under multi user parallel conditions. In the software design phase, based on multi-agent, a three-tier system architecture is constructed, and the resource allocation of each level is clarified. Each agent is refined from the perspective of structure and function, so that the information interaction between agents can be carried out independently, and its flexibility is improved. In the test, on the premise of 1400 concurrent requests, the corresponding CPU utilization and response time of the design system were 67.3% and 466.3 ms, respectively, which met the application requirements of the mathematics course network collaborative learning support system.

Keywords
Multi-Agent Mathematics Curriculum Network Support System MYC-J335X-V2 Core Board System Architecture Information Interaction
Published
2024-01-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-51465-4_14
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