Artificial Intelligence in Shaping Digital Mental Images and Its Role in Enhancing Visual Culture Education

This paper investigates the role of artificial intelligence (AI) in shaping digital mental images, particularly its influence on motion expressions in education and its application in enhancing visual culture education. The study employs AI technologies, such as Convolutional Neural Networks (CNN), to explore how motion patterns in animated characters can be accurately classified. The research highlights the significance of AI in improving the accuracy of visual expression analysis by 85 %, leading to better-targeted advertising strategies. Additionally, the integration of AI into educational settings offers promising potential for transforming visual culture education by providing students with advanced tools for analyzing and interpreting media content. Through the combination of AI-driven analysis and visual culture, this work demonstrates the intersection of technology and creativity, paving the way for future studies in this dynamic field.