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e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Intelligent Computer Aided Instruction System Based on Cloud Computing

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_10,
        author={Shiliang Liu and Caifeng Gao},
        title={Intelligent Computer Aided Instruction System Based on Cloud Computing},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Cloud computing Intelligent computer system Auxiliary teaching system Microprocessor Knowledge atlas Bayesian inference network},
        doi={10.1007/978-3-031-21161-4_10}
    }
    
  • Shiliang Liu
    Caifeng Gao
    Year: 2023
    Intelligent Computer Aided Instruction System Based on Cloud Computing
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_10
Shiliang Liu1,*, Caifeng Gao1
  • 1: Henan Medical College
*Contact email: iwd533695@163.com

Abstract

The traditional teaching assistant system can only count the teaching data. The teaching assistant function is single, and it can not support the large concurrent demand. To solve the above problems, an intelligent CAI System Based on cloud computing is designed. Taking embedded microprocessor as the core design, 5G communication and other functional modules are added as the system hardware. In order to meet the high concurrent operation requirements of the system, the cloud computing module is arranged to solve the problem of single teaching auxiliary function. By establishing students’ knowledge map, Bayesian inference network is used to recommend learning resources. According to the auxiliary teaching function, the system database is designed to meet the needs of supporting a large amount of concurrency. Through the comprehensive performance test of the computer-aided instruction system, it is verified that the response rate of the designed system is increased by nearly half, and it has the corresponding function to meet the modern teaching assistance. The practical application of the computer-aided instruction system has a good effect.

Keywords
Cloud computing Intelligent computer system Auxiliary teaching system Microprocessor Knowledge atlas Bayesian inference network
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_10
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