In the transitional era of AI, humanity confronts challenges including data bias and discrimination, deepfakes, and increasing dependence on AI, which may lead to disputes over responsibility, even in cases such as suicide. These developments raise cr...
In the transitional era of AI, humanity confronts challenges including data bias and discrimination, deepfakes, and increasing dependence on AI, which may lead to disputes over responsibility, even in cases such as suicide. These developments raise critical questions regarding the relationship with and use of AI. Addressing issues in the educational transition to the AI era requires competencies in questioning, critical thinking, and discussion to enable critical validation and social consensus, particularly for pre-service teachers responsible for future moral education. Within this context, this study proposes a pedagogical approach that synthesizes question-centered discussion practices in moral education courses. The approach comprises reading assignments, question construction, and question-centered discussions, and its effectiveness is examined in three respects: enhancing ethical awareness, cultivating critical thinking, and facilitating mutual verification and collective intelligence through discussions centered on selected “best questions.” These outcomes are analyzed based on students’ experiences. This study contributes as a qualitative inquiry by presenting a practical instructional approach for ethics-related courses aimed at preparing pre-service teachers for the AI era.