Analysis and Research of Printmaking Teaching Effect Based on Virtual Generation Technology and Neural Network Evaluation Algorithm

Traditional printmaking teaching is often limited by factors such as materials, equipment, and space, making it difficult for every student to fully practice and experience the entire process of printmaking creation. By introducing virtual generation technology, this study aims to create an immersive learning environment that allows students to intuitively observe, operate, and learn printmaking in a virtual environment, thereby stimulating their learning interest and motivation. In this system, students can create and learn prints through virtual reality technology, and at the same time, a neural network evaluation algorithm can evaluate and feedback on students’ works in real time. The combination of virtual generation technology and neural network evaluation algorithms can effectively improve the effect of printmaking teaching. First, virtual reality technology provides students with an immersive learning environment that enables them to more intuitively understand the creative process of printmaking. Second, the neural network evaluation algorithm can evaluate students’ works in real time, provide personalized feedback, and help students better master printmaking skills. The combination of virtual generation technology and neural network evaluation algorithms cannot only improve students’ learning interests but also improve teachers’ teaching efficiency. By using virtual reality technology, teachers can better demonstrate the process of printmaking, while neural network evaluation algorithms can help teachers understand students’ learning more accurately, so as to achieve more targeted teaching.