生成式人工智能融入高职思政课教学的逻辑、风险与进路OA

The rapid development of generative artificial intelligence provides new technical conditions for the reorganization of teaching resources,scenario creation,interactive feedback and personalized support of ideological and political courses in higher vocational colleges.Its integration into the teaching of such courses not only stems from the external drive of intelligent technology evolution and digital ideological and political transformation,but also responds to the inherent requirements of adhering to the fundamental principles while making innovations and promoting connotative development of ideological and political courses.However,while improving teaching efficiency,generative artificial intelligence may also weaken teachers'value guidance and leading position in teaching,cause contents distortion,value deviation,learning dependence and blurred application boundaries,and increase the difficulty of testing students'real learning effects and value identity.To address these issues,we should adhere to the unity of teacher leadership,student-centered status and technical assistance,improve teachers'digital literacy and intelligent teaching competence,establish a governance mechanism covering data sources,content generation,teaching application and result dissemination,clarify the boundaries of data,contents,behavior and ethics,and optimize the evaluation system integrating process evaluation,value-added evaluation and multi-subject comprehensive evaluation.