摘要
国家的经济发展与结构转型离不开创新型人才,创新创业教育是培养创新型人才的主要途径。针对我国创新创业教育成效不太显著的现状,提出通过图书馆来整合高校内部数据信息、外部数据信息和人力等资源形成本地大数据资源库,并利用大数据分析、数据挖掘和语义分析等技术来整合数据资源为高校创新创业教育提供服务,以期提高创新创业教育水平和成效。
The country's development and transformation cannot be separated from innovative talents.Innovation and entrepreneurship education is the main way to cultivating innovative talents. In view of the fact that China's innovation and entrepreneurship education is not very effective at present, it is proposed that universities use libraries to integrate resources such as internal data information, external data information, and human resources to form a local big data repository. University libraries use big data analysis, data mining, and semantic analysis technologies to integrate data resources to provide services for colleges and universities in innovation and entrepreneurship education, with a view to improving the level and effectiveness of innovation and entrepreneurship education.
作者
钱秀芳
钱进
赵小荣
柳益君
QIAN Xiu-fang;QIAN Jin;ZHAO Xiao-rong;LIU Yi-jun(Jiangsu University of Technology,Changzhou Jiangsu 213001,China)
出处
《职业教育研究》
2018年第7期57-61,共5页
Vocational Education Research
基金
教育部人文社会科学研究基金项目"大数据时代高校图书馆多样性的个性化推荐服务研究"(项目编号:17YJC870011)
江苏省高校社科基金项目"大数据环境下高校图书馆数字资源的知识发现及个性化知识服务研究"(项目编号:2017SJB1748)
关键词
高校图书馆
创新创业教育
情报信息
个性化推荐
大数据
university library
innovation and entrepreneurship education
intelligence information
personalized recommendation
bigdata