工业技术与职业教育

生成式人工智能为破解高职思政课教学中统一性与差异性、规模化与个性化的矛盾提供了全新范式。其核心价值在于赋能学生个性化学习、推动教师角色转型、催化课程教学范式变革。然而，当前应用也面临技术“幻觉”与价值偏见、教师数字素养不足、数据伦理与意识形态安全等多重现实挑战。为此，可构建“人机协同”混合教学模式，开发思政专属语料库与工具，提升师生“AI+思政”素养，建立健全伦理监管机制，以此确保技术在赋能个性化学习、解放教师生产力的同时，始终坚守立德树人根本任务，为推动高职思政课高质量发展注入新动能。

Generative artificial intelligence provides a new paradigm for resolving the contradiction between uniformity and diversity, and between scale and individualization in the teaching of ideological and political courses in higher vocational education. Its core value lies in empowering students with personalized learning, promoting the transformation of teachers' roles, and catalyzing the reform of teaching paradigms. However, current applications also face multiple practical challenges such as technological "illusion" and value bias, insufficient digital literacy among teachers, data ethics, and ideological security. To address these issues, a "human-machine collaborative" blended teaching model can be constructed, dedicated ideological and political course corpora and tools can be developed, and the "AI+ideological and political" literacy of teachers and students can be enhanced. Furthermore, a sound ethical supervision mechanism can be established to ensure that technology, while empowering personalized learning and liberating teachers' productivity, always adheres to the fundamental task of cultivating students' moral character, injecting new momentum into promoting the high-quality development of ideological and political courses in higher vocational education.