An Educational Method for Creation of Animation Story Using AI through Self-Directed Learning

Abstract

In this study, the possibility of an animation story education method using AI was identified. First, as a theoretical background, we identified Keller's ARCS theory, animation story creation and education methods, self-directed learning, and generative AI as a learning motivation design model. Additionally, a new method of creating animation stories using generative AI was proposed. In the experiment, 40 subjects were divided into 20 groups of two each, and one person was randomly selected and divided into a control group and an experimental group to conduct a comparative experiment. And the results were verified with t-test. Based on Keller's ARCS theory, a learning motivation theory, through the concepts of attention and relevance, the number of instructors' instruction was used as the main parameter. The experimental results extracted valid results using AI for 12 groups and invalid results for 8 groups. The results of the study showed that the number of teachers' guidance in the traditional method, which was the comparison group, was high, and in the experimental group using AI, it was relatively low. Therefore, we proposed a new creation method that reduces teacher intervention by integrating animation story, teaching method, and AI use in the animation story creation education method, and secured its possibility.