【摘要】 人工智能的快速发展持续驱动着教育教学模式的革新。当前生成式人工智能在高等教育领域的应用缺乏针对特定学科的垂直模型训练与系统化的课堂实践。本研究以清华大学“化工热力学”课程人工智能助教的建设与应用为例，介绍了生成式人工智能赋能特定学科课程教学的垂直模型训练与校准的方法，并使用课堂案例验证了所开发模型赋能教师教学和学生学习的有效性。研究发现，课程人工智能助教能够显著提高教师的备课效率与教学灵活性，并支持学生及时补齐知识短板、提出复杂问题的创造性解决方案。更多还原

【Abstract】 The rapid development of artificial intelligence continuously drives the revolution of teaching models and practices in higher education. However, the discipline-specific model training and systematic curriculum integration of generative AI in higher education still lack scientific research. Taking the “Chemical Thermodynamics” course at Tsinghua University as an example, this study introduces the construction and application of a discipline-specific AI teaching assistant, including methods for vertical model training and calibration and actual curriculum practice. The case study validates the effectiveness of the developed AI teaching assistant in enhancing both teaching and learning. The results show that the AI teaching assistant significantly improves teaching preparation efficiency and instructional flexibility and supports students in addressing knowledge gaps and providing creative solutions to complex problems.更多还原