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Research on the Construction of Smart Education Platform Driven by Artificial Intelligence Technology in the New Era Higher Education Self-study Examination

Chen Chen

Chen Chen

The School of Visual Arts, Hunan Mass Media Vocational and Technical CollegeChangsha, China
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Chen, Chen
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Received: Oct 11, 2024
Accepted: Feb 07, 2025
DOI: https://doi.org/10.2478/amns-2025-0411
Keywords
© 2025 Chen Chen, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The application architecture of the intelligent education platform
The application architecture of the intelligent education platform

Figure 2.

The overall framework of the KGCNN algorithm
The overall framework of the KGCNN algorithm

Figure 3.

The accuracy of the KGCNN model changes
The accuracy of the KGCNN model changes

Figure 4.

The loss of the KGCNN model changes
The loss of the KGCNN model changes

Figure 5.

Comparison of the accuracy of different models
Comparison of the accuracy of different models

Figure 6.

Comparison of the ROC curve of different models
Comparison of the ROC curve of different models

Figure 7.

Results of platform satisfaction survey
Results of platform satisfaction survey

Figure 8.

The results of the study attitude survey after the platform use
The results of the study attitude survey after the platform use

Figure 9.

The results of the study effect of the platform
The results of the study effect of the platform
Language:
English
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1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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