论大数据时代下的图书情报学教育——基于iSchool院校“大数据”相关课程调查及思考

发布时间：2018-03-21 06:04

本文选题：大数据　切入点：图书情报学　出处：《情报理论与实践》2017年12期 　论文类型：期刊论文

【摘要】：[目的/意义]随着大数据时代的到来,图书情报学教育面临着诸多困难与挑战。[方法/过程]以欧美和亚太地区iSchool高校图书情报学院为调查对象,针对研究生教育课程中与"大数据"相关学位教育和课程开展系统调查,对课程主题及课程设置特点进行了深入的分析,具体指标包括课程介绍、课程性质、课程内容、教学方法、考核方式、参考书目、教学条件、授课教师等多个方面。[结果/结论]以此为基础,从大数据环境、大数据资源、大数据方法、大数据技术4个维度,对图书情报学教育在人才培养目标、课程设置、教学方式、教学条件方面提出了相应的设想。
[Abstract]:[objective / significance] with the arrival of big data's era, library and information science education is facing many difficulties and challenges. [methods / processes] take the iSchool College of Library and Information in Europe, America and the Asia-Pacific region as the object of investigation. Based on the systematic investigation of the degree education and curriculum related to "big data" in the postgraduate education curriculum, this paper makes an in-depth analysis of the course theme and the characteristics of the curriculum setup, including the course introduction, the nature of the curriculum, the content of the curriculum, and so on. Teaching methods, assessment methods, bibliography, teaching conditions, teaching teachers and other aspects. [results / conclusions] based on this, from big data environment, big data resources, big data method, big data technology four dimensions, In this paper, the author puts forward some tentative ideas in the aspects of talent training goal, course arrangement, teaching method and teaching condition in library and information science education.
【作者单位】：中山大学资讯管理学院;
【基金】：国家社会科学基金重大项目“基于特定领域的网络资源知识组织与导航机制研究”的成果,项目编号:12&ZD222
【分类号】：G250-4;G643

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