|
基于AI人工智能模式下《传热学》课程的改革与探索
|
Abstract:
在人工智能时代背景下,AI智能推动了社会结构的智能化转型,重新定义了各行各业的发展模式,加速了信息从底层结构向上的传递速度与宽度,同时也在以不可逆转的趋势影响整个教育行业。AI人工智能与教学的深度融合,不仅是简单地将数据引入课堂,更是拓宽教师授课内容的维度的有效途径,是教学改革的新思维、新轨迹、新模式,更加个性化地将“因材施教”付诸于实践。目前各大高校陆续开展AI赋能教育改革,而《传热学》作为一门重要的工程基础课程,在教学改革过程中面临多方面的挑战,将AI人工智能引入《传热学》课堂,是为了满足教育环境变化的新需求。
In the context of the artificial intelligence era, AI drives the intelligent transformation of the social structure, redefines the development model of various industries, accelerates the speed and scope of information transmission from the underlying layers upward, and is also irreversibly influencing the entire education sector. The deep integration of AI and teaching is not merely about introducing data into the classroom but also serves as an effective means to expand the dimensionality of teachers’ lecture content, introduces a new thinking, new trajectory and new model for teaching reform, and implements a more personalized approach that is “tailored to the needs of students”. Currently, major universities are sequentially implementing AI-driven educational reforms. Heat Transfer, as a critical engineering foundation course, encounters numerous challenges during this teaching reform process. The integration of AI artificial intelligence into the Heat Transfer classroom aims to address the emerging demands of the evolving educational landscape.
[1] | 汪维, 李科斌, 霍庆, 宋小东. 基于OBE理念的工程热力学与传热学教学改革[J]. 高教学刊, 2023(28): 136-140. |
[2] | 许晓娜. 基于翻转课堂的创新教学模式在《传热学》中的实践[J]. 现代商贸工业, 2025(9): 48-50. |
[3] | 黄晓艳, 翟玉玲, 胡建杭, 冯立斌, 倪梓皓. 新工科背景下“传热学”实验教学改革探索与实践[J]. 科教论坛, 2025(1): 19-21. |
[4] | 王云龙, 成焕波, 张丽娟, 李果. “互联网+”背景下“热力学与传热学基础”课程教学模式创新与实践研究[J]. 2025(1): 116-118. |