中国电化教育

生成式人工智能(AIGC)与传统教育教学全流程的深度耦合与协同演化,为高校思政课教学范式革新提供了新的技术基座,驱动教学模式实现跨越式升级。针对传统课堂中理论话语与学生成长经验脱节、价值共鸣不足、阐释效能低等问题,该研究提出基于AIGC的高校思政课对话式教学模式:以五维学习者画像(包括兴趣特征、学习特征、思想认知内化、思想行为实践与对话交互特征)为锚点,设计问题嵌入式、自主探索式、教师主体式对话互融共生的教学模式。经过三轮行动实践的检验与迭代修正,发现该模式能够促进学生掌握理论知识,提升学习者课堂对话情感,深化思政理论认知转化,促进思想行为实践。研究可为高校思政课教学的数智化转型与高质量发展提供理论支撑与实践参考。

Generative Artificial Intelligence(AIGC) integrated with the full process of traditional education provided a new technological foundation for the innovation of university ideological and political course teaching and drove a leap in teaching models. To address the disconnection between theoretical discourse and students' experiences, weak value resonance, and low interpretive effectiveness in traditional classrooms, this study proposed a dialogic teaching model for ideological and political courses based on AIGC. Anchored on a five-dimensional learner profile covering interest, learning characteristics, cognitive internalization, behavioral practice, and dialogue interaction, the model integrated problem-embedded, self-exploratory, and teacher-led dialogues. Three rounds of action research and iterative revision showed that the model improved students' mastery of theoretical knowledge, enhanced emotional engagement in classroom dialogue, deepened the transformation of ideological cognition, and promoted behavioral practice. The findings provide theoretical support and practical reference for the digital and intelligent transformation of ideological and political course teaching.