Research on experiment teaching of anthropometry and virtual clothing design based on Gagné information processing theory

Abstract

With the promotion of education informatization in colleges and universities, virtual simulation technology is increasingly used in experimental teaching. In the teaching of fashion-related majors, virtual simulation technology can help students quickly and efficiently understand design theories, which are difficult for them to understand. However, due to the complexity of the virtual simulation experiment, it is difficult for students to master all the techniques required for the operation of the experimental system in a short time. In traditional teaching, students passively accept knowledge taught by the teacher and follow the teacher's operation, thereby affecting the learning effect. Such teaching and learning process cannot fully functionalize students' sensory system coding, and therefore cannot form long-term memory. To optimize the application of virtual simulation technology in the teaching of fashion-related majors, this paper proposes a clothing virtual simulation experimental teaching method based on Gagné information processing theory. To verify its effectiveness, anthropometry and virtual clothing design experiment was adopted as the research object. Two groups of students were involved in the experiments. One group was taught traditionally while another group was taught by the Gagné information processing mode. Through a set of learning and teaching process evaluation, experiment results demonstrated that Gagné information processing mode can effectively help students to fine-process the knowledge they have learned, so that important information can be extracted and encoded to form long-term memory. This paper provides support for future Gagné information processing theory in the teaching of virtual simulation courses and exercises.