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人工智能和智能制造背景下高职机电一体化专业适应性转型与实践
引用本文:宋志刚,王文斌,赵伟,常江.人工智能和智能制造背景下高职机电一体化专业适应性转型与实践[J].深圳职业技术学院学报,2021(1).
作者姓名:宋志刚  王文斌  赵伟  常江
作者单位:深圳职业技术学院机电工程学院
基金项目:深圳职业技术学院校级重大课题(1021-7019310015J0);校级重点课题(7017-22J210369991)部分研究成果.
摘    要:文章分析了人工智能技术的发展对制造业岗位的影响及机电一体化技术专业需要进行转型的依据,探讨了机电一体化技术专业培养方向、人才规格和培养目标的转型,着重研究专业课程体系与课程的重构、专业教学改革以及教学创新团队的塑造.通过转型实践,机电一体化技术专业适应性转型呈现三大特色:一是紧跟智能装备与产业升级,探索多学科多领域多专业技术融合,深度整合课程,构建模块化课程体系:二是采用信息化教学,建设数字化课程,虚实结合开展技能训练;三是杰出人才引领,构建校企融合教学团队.

关 键 词:人工智能  转型  课程重构  机电一体化

Research and Practice on Adaptive Transformation of Higher Vocational Education Mechatronics Major under the Background of Artificial Intelligence and Intelligent manufacturing
SONG Zhigang,WANG Wenbin,ZHAO Wei,CHANG Jiang.Research and Practice on Adaptive Transformation of Higher Vocational Education Mechatronics Major under the Background of Artificial Intelligence and Intelligent manufacturing[J].Journal of Shenzhen Polytechnic,2021(1).
Authors:SONG Zhigang  WANG Wenbin  ZHAO Wei  CHANG Jiang
Institution:(School of Mechanical and Electrical Engineering,Shenzhen Polytechnic,Shenzhen,Guangdong 518055,China)
Abstract:The paper analyzes the influence of the development of artificial intelligence technology on manufacturing jobs and the basis of the transformation of the mechatronics major.It puts forward the practice of transforming the training direction,talent specifications and training objectives of the mechatronics major.It focuses on reconstructing the curriculum and courses,reforming the teaching and building up the teaching innovation team.The transformation of mechatronics major has three characteristics:First,it upgrades the intelligent equipment and production lines,explores the integration of multi-disciplinary,multi-field and multi professional technology,integrates various courses,and builds modular course system;Second,it adopts information-based teaching,builds digital courses,and carries out skill training in combination with virtual reality;Third,it attracts outstanding talents to build a school enterprise integrated teaching team.
Keywords:artificial intelligence  transformation  curriculum reconstruction  mechatronics
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