The possibilities for using AI in education are exploding. AI is already widely used in education, and with the recent emergence of generative AI, the possibilities are being more actively explored. However, ethical concerns about the use of AI continue to arise. In particular, teachers, who take the lead in education, need to be empowered with ethical competencies that consider the impact of AI and digital technologies while using AI.
Accordingly, this study aims to develop a framework for teachers' ethical competencies in AI and its sub competencies and behavioral indicators. To this end, an initial competency framework and behavioral indicators were developed through a systematic literature review. At the same time, in-depth interviews were conducted with 10 in-service teachers and implications were derived according to Braun and Clarke's (2006) thematic analysis procedure.
The findings of the study, based on the synthesis of the literature review and the interview results, revealed a set of AI ethics competencies for teachers consisting of awareness, judgment, and practice, with corresponding sub-competencies and behavioral indicators. This study has significance in that it systematically presents the ethical competencies of teachers for coexistence with AI amid the ongoing development of AI from a post-humanistic perspective.
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[Session 3D]: Digital Capability, Artificial IntelligenceAuthor KeywordsAI in Education, Ethical Competence, Teacher Education
