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Design and Effectiveness Evaluation of Data Mining-Based Artificial Intelligence-Driven Intelligent Teaching and Assisting System for Civics Classes

Yanghejia Wang

Yanghejia Wang

Communication University of ZhejiangHangzhou, China
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Wang, Yanghejia
  
19 mar 2025
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Publicado en línea: 19 mar 2025
Recibido: 30 oct 2024
Aceptado: 24 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0544
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© 2025 Yanghejia Wang, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The mastery degree of the concept of political knowledge
The mastery degree of the concept of political knowledge

Figure 2.

Iteration diagram
Iteration diagram

Figure 3.

Architectural design of the system
Architectural design of the system

Ideological and political values

Comparison Variable Test Mean SD T P
Comparison1 Goodwill Before experiment 15.39 2.388 -0.998 0.659
After experiment 15.87 2.527
Comparison2 Social responsibility Before experiment 14.52 2.472 -3.413 0.001
After experiment 16.29 2.654
Comparison3 National condition Before experiment 11.22 2.322 -0.433 0.798
After experiment 11.4 1.652
Comparison4 Ideal belief Before experiment 11.48 1.814 -2.042 0.022
After experiment 12.93 1.653

Cultural literacy

Comparison Variable Test Mean SD T P
Comparison1 Consciousness of rule of law Before experiment 10.12 2.361 -3.671 0.002
After experiment 13.5 1.828
Comparison2 Public participation Before experiment 8.87 2.659 -6.22 0.006
After experiment 11.41 1.808
Comparison3 Cultural confidence Before experiment 9.88 2.345 -1.741 0.156
After experiment 10.52 2.356
Comparison4 Moral cultivation Before experiment 13.65 3.517 -2.423 0.041
After experiment 15.18 3.114

Experimental results

Algorithm RMSE AUC ACC R2
ASSIST09 ASSIST12 ASSIST09 ASSIST12 ASSIST09 ASSIST12 ASSIST09 ASSIST12
DKT 0.9412 0.735 0.7634 0.6888 0.7246 0.7248 0.2091 0.1087
DKVMN 0.9138 0.7909 0.7384 0.6868 0.6926 0.6924 0.189 0.1437
CKT 0.9208 0.7434 0.7697 0.7067 0.7335 0.7346 0.2189 0.1236
DKT-DT 0.9018 0.7222 0.7683 0.6877 0.7286 0.7289 0.1974 0.1101
SAKT 0.9313 0.7544 0.7574 0.6993 0.7356 0.7356 0.2156 0.1853
Deep-IRT 0.9127 0.7127 0.7669 0.7021 0.7279 0.7282 0.211 0.2273
Model of this article 0.6834 0.7051 0.8277 0.803 0.7636 0.7631 0.3098 0.2456
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Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
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