“人工智能+”机器人工程微专业的构建与探索  

Construction and Exploration of“Artificial Intelligence+”Robot Engineering Micro Specialty

作　　者：赵峰 张广渊[1] Zhao Feng;Zhang Guangyuan(School of Information Science and Electrical Engineering(School of Artificial Intelligence),Shandong Jiaotong University,Jinan,250357,China)

机构地区：[1]山东交通学院信息科学与电气工程学院(人工智能学院),山东济南250357

出　　处：《齐鲁师范学院学报》2021年第5期26-31,共6页Journal of Qilu Normal University

基　　金：2020年度教育部产学合作协同育人项目《基于数字孪生技术的机器人专业实践课程体系研究》(202002205009);2020年度山东省本科教学改革研究项目培育项目《地方应用型本科高校“人工智能+”专业改造支撑体系建设探索与实践》(P2020012);2020-2022年度中国交通教育研究会交通教育科学研究课题一般课题《交通类院校机器人专业人才培养课程体系构建》(JTYB20-204);2020年度山东交通学院教学改革研究重大项目《人工智能和机器人工程专业融合发展研究》(2020ZD11)。

摘　　要：针对当前人工智能和机器人领域人才难以满足国家战略和社会需求问题,根据人工智能与机器人领域所需人才应掌握的基础理论与关键实践技术,设计了"人工智能+"机器人工程微专业培养目标与培养方案,构建了"人工智能+"机器人工程微专业的创新课程体系,实现了线上线下混合式教学方式和多层次考核方式。基于微专业培养方案实施"人工智能+"机器人工程复合型人才培养,既提高了人才培养质量,又能进一步满足国家对人工智能与机器人工程专业人才的重大需求。In view of the current artificial intelligence and robot field,the talent gap is difficult to meet the national strategic and social needs.According to the talents needed in the field of artificial intelligence and robot industry,the training objectives and training programs of"artificial intelligence+"robotics micro specialty are designed according to the basic theory and key practical technology.The innovative curriculum system of"artificial intelligence+"robot engineering micro specialty is constructed,and the online and offline hybrid teaching and multi-level assessment are realized.The implementation of"artificial intelligence+"robot engineering compound talents training based on the micro specialty training scheme not only improves the quality of talent training,but also further meets the national major needs for artificial intelligence and robotics professionals.

关 键 词：微专业 人工智能 机器人工程 混合式教学 

分 类 号：G642[文化科学—高等教育学]