智能化时代提升高职物流专业教学质量的思考  

Research on Improving the Teaching Quality of Logistics Specialty in Higher Vocational Colleges in the Era of Intelligence

作　　者：冯朝军[1] Feng Zhao-jun

机构地区：[1]重庆电子工程职业学院财经管理学院,重庆401331

出　　处：《湖南铁路科技职业技术学院学报》2021年第2期32-37,31,共7页Vocational Education Research on Rail Transit

摘　　要：随着大数据、云计算等新一代信息技术的快速发展,物流行业的发展也朝着数字化、智能化方向驶入了快车道。作为肩负为社会培养具有较高素质技术技能型人才的高职院校,在智能物流专业教学方面就需要顺应时代发展趋势,针对现代物流管理和技术岗位对未来职业人才的需求,重构人才培养方案,打破传统的教学模式,探索多学科交叉融合,遵循人才培养规律,尝试多方法、多渠道培养模式,整合优质资源,加大产教融合和校企合作力度,优化师资结构,改造实训条件,实施智能场景教学,在加强学生物流基础知识学习的同时,进一步提升学生智能物流技术实践能力,提高学校整体教学效率,实现高职教育高质量发展。With the rapid development of new generation information technologies such as big data and cloud computing,the development of logistics industry has also entered the fast lane in the direction of digitization and intelligence.As a higher vocational college shouldering the responsibility of cultivating technical and skilled talents with high quality for the society,in the teaching of intelligent logistics specialty,it should comply with the trend of the times,reshape the talent training scheme,break the traditional teaching mode and explore the interdisciplinary integration according to the demand of modern logistics management and technical posts for future professional talents;it should follow the law of talent training and try the multi-method and multi-channel training mode;it should integrate high-quality resources,strengthen the integration of industry and education and school enterprise cooperation;it should optimize the structure of teachers,transform the training conditions,implement intelligent scene teaching,strengthen students'learning of basic logistics knowledge,and further improve students'practical ability of intelligent logistics technology,so as to improve the overall teaching efficiency of the school and realize the high-quality development of higher vocational education.

关 键 词：大数据 高职院校 智能物流 人才培养 

分 类 号：G712[文化科学—职业技术教育学]