关于数智赋能背景下课程建设的思考——以工程热力学为例  

Reflections on Course Construction in the Context of Intelligent Digitization Enablement:A Case Study of Engineering Thermodynamics

作　　者：陈学 罗彦 卢涛[1] CHEN Xue;LUO Yan;LU Tao(College of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]北京化工大学机电工程学院,北京100029

出　　处：《化工高等教育》2024年第5期28-33,64,共7页Higher Education in Chemical Engineering

基　　金：北京化工大学机电工程学院教育教学改革项目(B202206)。

摘　　要：随着信息技术和人工智能的爆发式发展,数智赋能高等教育的步伐正在加快,这对高校教师提出了更高的要求。文章以工程热力学课程为例,围绕领域知识模型、教学模型、学生模型和交互模型四个方面,探讨了融合生成式人工智能工具的课程建设的主要任务,以及虚拟现实和计算流体力学发展所带来的新的教学方法,还针对潜在的负面影响提出了建议。With the explosive development of information technology and artificial intelligence,the pace of intelligent digitization in higher education is accelerating,posing higher demands for university teachers.This paper takes the course of Engineering Thermodynamics as an example to discuss the main tasks of course development in the context of integrating generative artificial intelligence tools,focusing on the domain model,instructional model,student model and interaction model.Additionally,new teaching methods brought by the development of virtual reality and computational fluid dynamics are presented.Furthermore,suggestions are proposed in response to potential negative impacts.

关 键 词：数智赋能 工程热力学 人工智能 课程建设 

分 类 号：G642[文化科学—高等教育学] TK123-4[文化科学—教育学]