摘要
数字孪生与仿真推演的融合所具备的虚实映射、现实场景复刻等功能为工程教育深度学习的实现提供了具象表达的有力载体。数字孪生与仿真推演的融合构筑工程教育深度学习展开的载体基础、多向度实现工程教育认证核心理念贯穿课堂教学始终、全方位重塑面向工程实践应用的工程能力和思维等是数字孪生在工程教育深度学习中得以推进的主要路径。该文在剖析基于数字孪生与仿真推演融合的工程教育深度学习包含开辟知识传递路径、建构立体化高效课堂、创建验证情境、重构师生角色及关系、支持实现持续改进的多维评价等维度的理论框架基础上,探索并构建了基于数字孪生与仿真推演融合的三阶段五环节工程教育深度学习模式,以期为工程教育深度学习的有效展开、提升工程教育专业人才的培养质量提供具有参考意义的视角和思路。
The integration of digital twin and simulation deduction has the functions of mapping reality to reality and reproducing realistic scenes.The integration of digital twin and simulation deduction provides a powerful carrier for the realization of deep learning in engineering education.Digital twin can promote the application of deep learning in engineering education through integrating simulation deduction to construct a foundation of carrier for the development of deep learning in engineering education,realize the core concepts of engineering education accreditation throughout classroom teaching,and reshape the engineering ability and thinking for practical engineering application in an all-round way.On the basis of analyzing the theoretical framework that the deep learning in engineering education based on the integration of digital twin and simulation deduction includes opening up the knowledge transfer path,constructing three-dimensional and efficient classroom,creating validation situations,reconstructing teacher-student roles and relationships,and supporting the realization of multi-dimensional and continuous evaluation for improvement,this paper explored and constructed a three-phase and five-link deep learning model of engineering education based on the integration of digital twin and simulation deduction,in order to provide a referential perspective and idea for the effective development of deep learning in engineering education and the enhancement of the cultivation quality of engineering education professionals.
作者
蒋林浩
张艳鹿
杨光
Jiang Linhao;Zhang Yanlu;Yang Guang((Qingyuan)Institute of Science and Technology Innovation,South China Normal University,Qingyuan 511517,Guangdong;College of Teacher Education,South China Normal University,Guangzhou 510631,Guangdong;School of Artificial Intelligence,Guangdong Mechanical&Electrical Polytechnic,Guangzhou 510550,Guangdong)
出处
《中国电化教育》
CSSCI
北大核心
2024年第8期118-125,共8页
China Educational Technology
基金
2024年广东省科技创新战略专项资金(大学生科技创新培育)重点项目“粤港澳大湾区高校学术创业效率评价及影响因素研究”(项目编号:pdjh2024a116)
2023年度清远市产教融合社科专项课题规划项目“政府+高校+企业”联合培养工程硕博士的实践研究(项目编号:ZJCYJY202310)资助。
关键词
数字孪生
仿真推演
工程教育
深度学习
模式构建
digital twin
simulation deduction
engineering education
deep learning
model construction
