A Case Study on Integrating Professional Ethics into General Artificial Intelligence Education Empowered by AIGC

Abstract
To address the theory-practice gap in ethics instruction within artificial intelligence (AI) general education, this action research study developed a three-layer pedagogical model—"Problem Orientation, Implementation, and Value Shaping"—enhanced by AI technology. Centered on the core case study, "My Professional Assistant," and supported by complementary cases, the model was implemented over one semester. A mixed-methods approach, comprising pre- and post-test questionnaires, content analysis of student deliverables, and in-depth interviews, was employed for evaluation. Results demonstrated significant improvements in students' sensitivity to technological ethics (p < 0.001) and their knowledge of responsible AI practices (p < 0.001). Qualitative findings revealed that students transitioned from being mere tool users to responsible supervisors, integrating ethical considerations deeply into their professional practice. Furthermore, several student projects were adopted by external partners, generating impact beyond the classroom. This research provides an actionable framework and empirical support for the systematic cultivation of professional ethics literacy in general AI education.
Keywords: AI General Education; AIGC; Professional Ethics; Action Research; Mixed Methods; Value Internalization

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