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Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II

Research Article

Design of a Multidimensional Teaching Effectiveness Evaluation System Based on Information Integration

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50546-1_3,
        author={Lei Ma and Yanning Zhang and Jingyu Li and Wei Han},
        title={Design of a Multidimensional Teaching Effectiveness Evaluation System Based on Information Integration},
        proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2024},
        month={3},
        keywords={Information Integration Multidimensional Teaching Teaching Evaluation Reset Circuit Teaching Process Teaching Link},
        doi={10.1007/978-3-031-50546-1_3}
    }
    
  • Lei Ma
    Yanning Zhang
    Jingyu Li
    Wei Han
    Year: 2024
    Design of a Multidimensional Teaching Effectiveness Evaluation System Based on Information Integration
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-031-50546-1_3
Lei Ma1,*, Yanning Zhang1, Jingyu Li1, Wei Han1
  • 1: Beijing Polytechnic
*Contact email: malei235@tom.com

Abstract

The multidimensional teaching effect evaluation system has the problem of high CPU usage in the process of actual use. To solve this problem, a multidimensional teaching effect evaluation system based on information integration is designed. Hardware part: choose RC punch and discharge circuit, convert TTL level into PC communication mode as well; software part: identify the characteristics of multidimensional teaching effect evaluation elements, divide them into evaluation subjects,optimizethe system software function by using information integration technology, extract and revise the system log intermediate table. Experimental results: The multidimensional teaching effectiveness evaluation system designed this time is lower than the average CPU usage of the other three multidimensional teaching effectiveness evaluation systems: 9.896%, 11.111% and 10.036% respectively, indicating that the performance of the designed multidimensional teaching effectiveness evaluation system is superior after fully integrating information integration technology.

Keywords
Information Integration Multidimensional Teaching Teaching Evaluation Reset Circuit Teaching Process Teaching Link
Published
2024-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50546-1_3
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