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Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings

Research Article

Design of Online Teaching Mode Recognition System for Ideological and Political Curriculum Based on Hash Algorithm

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-18123-8_12,
        author={Jun Yang and Dong Yang},
        title={Design of Online Teaching Mode Recognition System for Ideological and Political Curriculum Based on Hash Algorithm},
        proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings},
        proceedings_a={ICMTEL},
        year={2022},
        month={10},
        keywords={Hash algorithm Ideological and political courses Online teaching Teaching mode Online teaching recognition System design},
        doi={10.1007/978-3-031-18123-8_12}
    }
    
  • Jun Yang
    Dong Yang
    Year: 2022
    Design of Online Teaching Mode Recognition System for Ideological and Political Curriculum Based on Hash Algorithm
    ICMTEL
    Springer
    DOI: 10.1007/978-3-031-18123-8_12
Jun Yang1, Dong Yang2,*
  • 1: College of Marxism, Fuyang Normal University
  • 2: Nanchang Institute of Technology
*Contact email: wangdong1233211@163.com

Abstract

In the practical application process, there are many defects in the online teaching of ideological and political courses, leading to the inability to accurately identify the teaching content. In order to avoid this situation, this paper designs and analyzes the ideological and political course online teaching mode recognition system based on the hash algorithm. In the system hardware section, Design main control circuit and PCB board of teaching mode identification system; In the software part, the teaching recognition function module adopts hash algorithm, designs the multi-core recognition database under the hash algorithm, and then completes the design process of the ideological and political course online teaching pattern recognition system. The final test results show that the recognition rate of the designed system is high, which is more than 90%, indicating that its recognition effect is good, has strong stability and certain practical significance.

Keywords
Hash algorithm Ideological and political courses Online teaching Teaching mode Online teaching recognition System design
Published
2022-10-19
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-18123-8_12
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