产教融合视角下的工程实践教育质量提升--以地方应用型高校的数据科学与大数据技术专业为例  

作　　者：杨彩云[1] 方建文[1] 周小龙 徐进[1] 

机构地区：[1]衢州学院人工智能研究所,浙江衢州324000

出　　处：《高教学刊》2021年第31期69-72,77,共5页Journal of Higher Education

基　　金：浙江省高等教育“十三五”第二批教学改革研究项目“基于产教融合的数据科学与大数据技术专业实践教学体系研究”(编号:jg20190419);浙江省“十三五”省级产学合作协同育人项目“新工科背景下物联网工程专业应用型人才校企协同培养模式的探索与实践”(浙教办函〔2019〕365号)。

摘　　要：对地方应用型高校数据科学与大数据技术专业的产教融合进行分析,发现存在产教融合动力不足、无产业资源或薄弱、学生动力不足等诸多困难。高校要在贫瘠的环境中通过面向数据产品的课程实践体系解构,与企业进行生产控制数据分析,与电力、金融企业合作获得数据产品及数据工程资源;通过研究数据分析竞赛如Kaggle、天池等赛题暂时替代数据应用场景及数据集的匮乏;通过面向竞赛的课程实践体系析构,面向学科发展应用的数据项目资源支撑;发展“数据至上”的数据文化建设;学生实践培养的代码定量体系的建构来整合区域教育、行业、科研资源,满足人才培养需求,走出产教融合困境。Analyzing the integration of production and education in the majors of Data Science and Big Data Technology in local application-oriented universities,there are many difficulties such as insufficient motivation for integration of production and education,lack of industrial resources or weakness,and insufficient motivation for students.Colleges and universities must deconstruct the data product-oriented curriculum practice system in a barren environment,conduct production control data analysis with companies,and cooperate with power and financial companies to obtain data products and data engineering resources.By studying data analysis competitions such as Kaggle and Tianchi,the shortage of data application scenarios and data sets can be temporarily replaced.Through the construction of the competition-oriented curriculum practice system,the data project resources are supported for the development and application of the discipline.Developing the data culture construction of"data first";The construction of the code quantitative system of student practice training can integrate regional education,industry and scientific research resources,meet the needs of talent training,and overcome the dilemma of integration of production and education.

关 键 词：数据科学 实践教育 培训困境 

分 类 号：G640[文化科学—高等教育学]