大数据环境下中美高校信息素养培养模式比较研究

Comparative Study of Information Literacy Training Models in Chinese and American Universities in Big Data Environment

[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。

[ Purpose/significance sional and innovative talents to training models in Chinese and satisfy ] This paper aims to provide guidance for Chinese universities the needs of big data era by the comparative analysis on the to cultivate profesinformation literacy American universities. [ Method/process ] With literature collection, online survey and comparative analysis, this paper selects four universities in China and America as research samples, conducts a compara- tive analysis on their characteristics of information literacy training models under the big data environment, so as to provide the reference to the cultivation of information literacy ability in Chinese universities. [ Result/conclusion ] General education model focuses on the training of data consciousness and the information ethics of college students; platform training model based on software service focuses on the improvement of data and information analysis skills in big data environment, while education model based on embedded disciplines focuses on the training of practical abilities of students.