【作 者】：
钟柏昌， 裴永漫
【关 键 词 】：
生成式人工智能； 工程教育； TIE提示语框架； TRIZ理论； 逆向工程方法
【栏 目】：
课程与教学
【中文摘要】：
工程教育在提高学生的创新能力方面发挥着重要作用，而生成式人工智能（GAI）的教育应用对学生创新能力的培养提出了新的挑战。因此，将GAI引入工程教育需要进行审慎的设计。为此，研究在现有通用GAI提示语框架的基础上，融入发明问题解决理论（TRIZ理论）和逆向工程方法，构建了面向工程教育的TIE提示语框架。为验证其在工程教育中的有效性，课题组采用实验研究方法，随机选择了两个初中班级进行比较实验。结果表明，与不使用GAI的班级相比，TIE提示语框架的使用能够显著提升学生的创新能力、工程知识水平和工程设计能力，具有较为重要的应用潜力与教育价值。
【英文摘要】：
Engineering education plays a crucial role in enhancing students' innovative abilities. However, the educational application of generative artificial intelligence (GAI) poses new challenges to the cultivation of students' innovative abilities. Therefore, the introduction of GAI into engineering education requires careful design. To this end, this study develops a TIE prompt framework for engineering education based on the Theory of Inventive Problem Solving (TRIZ Theory) and reverse engineering method. In order to verify its effectiveness in engineering education, this study adopted an experimental research method, and randomly selected two junior high school classes to conduct comparative experiments. The results show that compared with the class without using GAI, the use of the TIE prompt framework can significantly improve students' innovative abilities, engineering knowledge level and engineering design ability, demonstrating more important application potential and educational value.