The purpose of this study is to analyze the effects of Generative AI application in AI Edutech major classes at universities and suggest implications for higher education. A preliminary survey on usage patterns, a pre-post analysis of knowledge, attitudes, and competencies, and a survey of opinions on learning guidelines were conducted. Quantitative data were analyzed using t-tests, and qualitative data were repeatedly compared.
The results showed. First, despite the fact that many students had no prior learning experience in AI in the preliminary survey, Generative AI such as ChatGPT are frequently used for learning, and the proportion of individual AI ethics standards has increased significantly after class. Second, as a result of the Pre-Post analysis, knowledge, attitudes, and competencies of Generative AI improved overall, and the difference was statistically significant in the group with prior learning experience and the upper grade by group. Third, students responded that clear guidelines were needed when using Generative AI learning. Fourth, students recognized the educational availability of AI and the connection between majors and careers, and their ethical consciousness, critical thinking, and efficient utilization capabilities improved after class.
This study demonstrates that Generative AI-based classes can enhance learners’ competencies and ethical reflections, providing a basis for effective instructional design and AI education policy in higher education.