图书情报工作 ›› 2019, Vol. 63 ›› Issue (11): 5-14.DOI: 10.13266/j.issn.0252-3116.2019.11.001

• 理论研究 • 上一篇    下一篇

大数据及人工智能时代背景下国外图书情报专业研究生人才培养趋势研究

王晰巍1,2, 李玥琪1, 刘宇桐1, 李文乔1   

  1. 1. 吉林大学管理学院 长春 130022;
    2. 吉林大学大数据管理研究中心 长春 130022
  • 收稿日期:2018-10-04 修回日期:2018-12-25 出版日期:2019-06-05 发布日期:2019-06-05
  • 作者简介:王晰巍(ORCID:0000-0002-5850-0126),大数据管理研究中心主任,教授,博士生导师,E-mail:wxw_mail@163.com;李玥琪(ORCID:0000-0002-5930-7213),硕士研究生;刘宇桐(ORCID:0000-0003-3320-7369),硕士研究生;李文乔(ORCID:0000-0002-7665-7928),硕士研究生。
  • 基金资助:
    本文系吉林大学研究生课程体系建设项目"图书情报与档案管理研究生课程体系建设研究"研究成果之一。

Research on the Development Trend of Graduate Cultivation in Library and Information Science in Foreign Schools Under the Background of Big Data and Artificial Intelligence

Wang Xiwei1,2, Li Yueqi1, Liu Yutong1, Li Wenqiao1   

  1. 1. School of Management, Jilin University, Changchun 130022;
    2. Bigdata Management Research Center, Jilin University, Changchun 130022
  • Received:2018-10-04 Revised:2018-12-25 Online:2019-06-05 Published:2019-06-05

摘要: [目的/意义]通过对国外高校图书情报专业研究生人才培养模式的分析,促进我国高校图情学科教育在人才培养模式上的转变,以满足大数据及人工智能时代背景下企业对人才的需求。[方法/过程]运用网络调查、文献收集和对比分析的研究方法,选择iSchools联盟中美国10所高校作为研究样本,对其理论课程体系、实践教学环节、人才培养模式进行研究和分析,针对人工智能背景下对图情学科人才的需求,提出对我国图情学科研究生人才培养的建议,以期推动我国图情学科教育的改革。[结果/结论]在满足社会需求的条件下,注重研究生的数据素养能力、学科融合能力及理论与实践相结合能力的培养是未来图情学科研究生人才培养的趋势。

关键词: 大数据, 人工智能, 图情学科, 人才培养, 发展趋势

Abstract: [Purpose/significance] This paper aims to provide guidance for Chinese universities to transfer the talent cultivation modal in order to satisfy the demand of enterprises in the era of big data and artificial intelligence.[Method/process] With online investigation, literature collection and comparative analysis, 10 American universities in the iSchools union were selected as samples. This paper studied and analyzed the theoretical curriculum system, practice education and talent cultivation modal of foreign iSchools members and put forward some suggestions on graduate training model in our country, to promote the reform in our library and information science education.[Result/conclusion] In order to satisfy the social demand, it is the trend to pay attention to the ability of data literacy, the ability of subject fusion and the ability of combining theory with practice in LIS education.

Key words: big data, artificial intelligence, library and information science, talent cultivation, development trend

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