大数据环境下中美高校信息素养培养模式比较研究

发布时间：2018-04-15 10:07

本文选题：大数据 + 中美高校　；参考：《图书情报工作》2016年11期

【摘要】：[目的 /意义]通过对大数据环境下中美高校信息素养培养模式的比较分析,指导我国高校培养符合大数据时代需求的专业型和创新型人才。[方法 /过程]运用文献收集、网络调查和比较分析的研究方法,选取美国和中国的4所高校作为研究样本,通过比较分析两国高校在大数据环境下信息素养培养模式方面的特点,为我国高校在大数据环境下的信息素养能力培养提供借鉴。[结果 /结论]通识教育培养模式侧重对大数据环境下大学生数据意识和信息伦理道德能力的培养;基于软件服务平台的培养模式侧重大数据环境下数据和信息分析处理技能的提高;嵌入学科专业培养模式侧重对学生的实践能力的培养。
[Abstract]:[objective / significance] through the comparative analysis of the information literacy training models of Chinese and American universities under the environment of big data, we can guide our colleges and universities to cultivate professional and innovative talents in line with the needs of big data era.[methods] by using the methods of literature collection, network investigation and comparative analysis, four universities in the United States and China were selected as research samples.By comparing and analyzing the characteristics of information literacy training mode in big data environment, this paper provides a reference for the cultivation of information literacy ability in Chinese colleges and universities under big data environment.[results / conclusion] the model of general education focuses on the cultivation of data consciousness and information ethics ability of college students under the environment of big data;The training model based on software service platform focuses on the improvement of data and information analysis and processing skills under big data environment, while the training mode of embedded subject specialty focuses on the cultivation of students' practical ability.
【作者单位】：吉林大学管理学院;吉林大学学生工作部;吉林省图书馆;
【基金】：吉林大学高水平研究生课程体系建设项目“图书馆学、情报学高水平博士硕士研究生课程体系优化设计”(项目编号:2014XT05);“吉林大学高峰学科(群)建设项目”研究成果之一
【分类号】：G642;G252.7

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