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A study of utilizing computer-generated art methods to enhance creative expression in art education

Liangliang Song

Liangliang Song

Philippine Christian University Center for International EducationManila, Philippines
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Song, Liangliang
  
19. März 2025
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Online veröffentlicht: 19. März 2025
Eingereicht: 23. Nov. 2024
Akzeptiert: 23. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0537
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© 2025 Liangliang Song, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The training process of Generative Adversarial Nets
The training process of Generative Adversarial Nets

Figure 2.

Real-time style transfer algorithm process
Real-time style transfer algorithm process

Figure 3.

The structure of the self-code device
The structure of the self-code device

Figure 4.

DrawGAN’s training framework
DrawGAN’s training framework

Figure 5.

The Draw GAN generator network architecture
The Draw GAN generator network architecture

Figure 6.

The structure of the SSE module
The structure of the SSE module

Figure 7.

Generate the classification of image types
Generate the classification of image types

Figure 8.

Degree of preference
Degree of preference

Differences in the different dimensions

Dimension Name Group (M±SD) T P
Control Group (N= 20) Experimental Group (N= 20)
Imagination 13.26±2.13 14.93±2.43 -3.441** 0.005
Challenge 12.4±2.22 14.28±3.23 -2.605* 0.009
Curiosity 11.54±3.74 11.65±2.51 0.459 0.645
Risk 6.78±1.69 7.3±1.73 -3.155** 0.008
Creative Strategy 2.64±0.51 3.04±0.95 -2.839*** 0.006
Creative Product 2.76±0.59 3.69±0.52 -2.524 0.017
Anti-Negative Evaluation 2.82±0.49 3.99±1.05 -2.888** 0.011

Differences in the control group in different dimensions

Dimension Name Test Stage (M±SD) T P
Pre-Test (N= 20) Post-Test (N= 20)
Imagination 12.12±1.66 12.63±1.24 -1.231 0.238
Challenge 13.87±3.52 12.76±1.79 1.511 0.144
Curiosity 11.75±3.31 11.31±3.73 0.345 0.741
Risk 6.41±2.23 6.98±1.47 -0.71 0.491
Creative Strategy 3.24±-0.1 3.44±0.48 -1.561 0.133
Creative Product 3.03±0.09 3.91±0.67 -1.485 0.159
Anti-Negative Evaluation 3.13±0.94 2.57±0.62 -0.599 0.544

Experiment 3 score mean and standard deviation

Serial number Q9 deliberate Q10 structure Q11 communication Q12 illuminatin
Abstract Expression 3.07 (0.25) 2.01 (0.41) 3.37 (0.38) 2.46 (0.58)
Art Basel 2016 2.03 (0.59) 1.96 (0.4) 2.15 (0.32) 2.76 (0.2)
Draw CAN 3.72 (0.36) 3.06 (0.41) 3.98 (0.58) 2.89 (0.6)

Experiment 2 score mean and standard deviation

Serial number Q3 fondness Q4 novelty Q5 surprise Q6 ambiguity Q7 complexity Q8 veracity
DGGAN 3.27 (0.5) 3.04 (0.62) 3.29 (0.53) 3.33 (0.45) 3.25 (0.53) 0.36 (0.6)
CAN 3.44 (0.47) 3.15 (0.47) 3.32 (0.41) 3.52 (0.62) 3.38 (0.61) 0.58 (0.46)
Improved CAN 3.57 (0.44) 3.22 (0.54) 3.46 (0.58) 3.72 (0.52) 3.5 (0.54) 0.69 (0.45)

Differences in the experimental group in different dimensions

Dimension Name Test Stage (M±SD) T P
Pre-Test (N= 20) Post-Test (N= 20)
Imagination 13.13±1.86 15.04±1.5 -3.9** 0.009
Challenge 12.49±2.68 14.63±2.43 -3.878* 0.009
Curiosity 10.21±3.34 11.4±1.28 -0.596 0.568
Risk 5.21±1.73 8.04±1.5 -4.65** 0
Creative Strategy 2.02±0.27 3.28±0.77 -3.244** -0.008
Creative Product 2.25±0.75 2.83±0.27 -5.549* 0
Anti-Negative Evaluation 2.4±0.93 3.68±0.3 -5.466** 0
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