摘要
在建设新型工业化国家的进程中,工程训练体系需要根据智能制造等产业新技术的发展进行转型升级发展,但是其转型升级发展的过程是个知易行难的过程,即如何利用现有有限的教育资源去建设升级工程训练体系。本文结合智能制造学科的知识结构,剖析高校工程训练中心智能化转型升级中的机遇与挑战,围绕核心教学人群,提出以人为本的“卷积式”智能化转型升级框架。该框架应用在清华大学工程训练中取得了较为明显的成果,期望为高校工程训练的智能化转型升级提供借鉴。
In the process of building a new type of industrialized country,the engineering training system needs to continuously upgrade and develop based on the new technology in new industries such as intelligent manufacturing.However,the process of upgrading and developing the system is a difficult task,that is,how to use limited educational resources to step-by-step upgrade an engineering training system.This paper combines the knowledge structure of intelligent manufacturing discipline to analyze the opportunities and challenges in intelligent transformation and upgrading of engineering training centers in universities,and proposes a people-oriented“convolutional”intelligent transformation and upgrading framework around the core teaching population.This framework has achieved significant results in the engineering training center of Tsinghua University,and is expected to provide reference for the intelligent transformation and upgrading of engineering training in universities.
作者
朱峰
李双寿
杨建新
王健美
Zhu Feng;Li Shuangshou;Yang Jianxin;Wang Jianmei
出处
《高等工程教育研究》
北大核心
2024年第1期30-34,47,共6页
Research in Higher Education of Engineering
基金
清华大学本科教改项目(53413900322)。
关键词
工程训练
智能制造
智能化转型升级
卷积式框架
engineering training
intelligent manufacturing
intelligent transformation and upgrading
convolutional framework