콘텐츠 생성기, 매체풍부성 및 콘텐츠 주제가 학습성과에 미치는 영향

Abstract

[Purpose] With the advent of ESG management, the demand for ESG management education for attitudinal change and enhancing self-efficacy is rapidly increasing. Yet the difficulties to meet the growing demand on ESG management instructors has prompted the development of alternative method of delivering learning contents using generative AI technology. However, the studies to examine the performance of the AI generated contents lecturers has been very few. Hence, the this study aims to experimentally examine the learing effect of AI generated ESG management education. [Research methodology] The experiment was conducted by introducing the learning content to the Chinese employees and subsequently conducting an online survey. We used a mixed subjects design of 2(Content Generators: Artificial Intelligence, Human) × 2(Media Richness: Audio, Video) × 3(Content Theme: Explanatory-concept of ESG management-, Sensitive-importance of ESG management-, Volitional-how to do-). [Research Findings] The results suggest that the interaction between content generator, information delivery method, and content’s topic have an effect on the learner's cognitive change. In particular, it was found that the use of virtual-human instructors powered by generative AI and emotional themes had greater effect on learning performance in the ESG management education for Chinese emplyoees context. [Implications] This study empirically contributes to the AI generated learning technology research. Existing generative AI technology is expected to contribute as a guideline to its successful establishment in global management.