图书情报工作

图书情报工作 >

2016 , Vol. 60 >Issue 11: 29 - 35

DOI: https://doi.org/10.13266/j.issn.0252-3116.2016.11.004

工作研究

大数据环境下中美高校信息素养培养模式比较研究

  • 王晰巍 ,
  • 张长亮 ,
  • 蔡佳铭 ,
  • 于雪
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  • 1. 吉林大学管理学院 长春 130022;
    2. 吉林大学学生工作部 长春 130012;
    3. 吉林省图书馆 长春 130021
王晰巍(ORCID:0000-0002-5850-0126),教授,博士生导师;蔡佳铭(ORCID:0000-0002-2063-5949),本科生;于雪(ORCID:0000-0002-1283-338X),助理馆员。

收稿日期: 2016-04-08

  修回日期: 2016-05-20

  网络出版日期: 2016-06-05

基金资助

本文系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）和“吉林大学高峰学科（群）建设项目”研究成果之一。

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

  • Wang Xiwei ,
  • Zhang Changliang ,
  • Cai Jiaming ,
  • Yu Xue
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  • 1. School of Management, Jilin University, Changchun 130022;
    2. Student Work Department, Jilin University, Changchun 130012;
    3. Jilin Province Library, Changchun 130021

Received date: 2016-04-08

  Revised date: 2016-05-20

  Online published: 2016-06-05

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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。

关键词： 大数据; 中美高校; 信息素养; 培养模式

本文引用格式

王晰巍 , 张长亮 , 蔡佳铭 , 于雪 . 大数据环境下中美高校信息素养培养模式比较研究[J]. 图书情报工作, 2016 , 60(11) : 29 -35 . DOI: 10.13266/j.issn.0252-3116.2016.11.004

Abstract

[Purpose/significance] This paper aims to provide guidance for Chinese universities to cultivate professional and innovative talents to satisfy the needs of big data era by the comparative analysis on the information literacy training models in Chinese and 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 comparative 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.

Key words： big data; Chinese and American universities; information literacy; cultivation model

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