理论研究

大数据环境下情报工程师的素质结构与培养模式

  • 张家年
展开
  • 武汉大学信息资源研究中心 武汉 430072
张家年(ORCID:0000-0002-2642-3197),副教授,博士研究生,E-mail:chzjn@126.com。

收稿日期: 2015-11-22

  修回日期: 2015-12-20

  网络出版日期: 2016-01-05

基金资助

本文系中国科技信息研究所院校合作项目"情报工程学"研究成果之一。

Analysis on the Quality Structure and Cultivating Model of Intelligence Engineers in the Big Data Era

  • Zhang Jianian
Expand
  • Center for the Studies of Information Resources of Wuhan University, Wuhan 430072

Received date: 2015-11-22

  Revised date: 2015-12-20

  Online published: 2016-01-05

摘要

[目的/意义]在借鉴"卓越工程师教育培养计划"的基础上,提出情报工程师的培养设想。[方法/过程]在阐述情报工程学的内涵和情报工程教育的目标之后,依据现有情报人才教育的层次、方向和目标,进一步提出情报工程师的培养层次、方向和目标,并确定情报工程师应有的素质结构及其内涵。构建基于"知行融合,多方协同"的情报工程师培养模式,探讨课程内容的选择、课程体系的设置、教学模式的运用。[结果/结论]提出多方协同构建情报工程教育的教学、实践和研究创新共同体。

本文引用格式

张家年 . 大数据环境下情报工程师的素质结构与培养模式[J]. 图书情报工作, 2016 , 60(1) : 12 -18,25 . DOI: 10.13266/j.issn.0252-3116.2016.01.002

Abstract

[Purpose/significance] Referring to "a plan for educating and training outstanding engineers", the present study puts forward the concept of excellent intelligence engineers' training.[Method/process] After introducing the connotation and educational goals of intelligence engineering, and according to the educational levels, orientation and goals of the educational system of information science, this article proposed the intelligence engineer's training methods, directions, goals and ascertains their quality structure and capabilities.Then we constructed the cultivating model of intelligence engineers by combining the theory with practice and multi-party cooperation.The present study also discussed the choice of curriculum contents, the deployment of the curriculum system and applying teaching models.[Result/conclusion] In the end, this article puts forward that we should cooperate to construct the innovation community of intelligence engineers' education in teaching, practice and research.

参考文献

[1] MANYIKA J,CHUI M,Brown B,et al.Big data:the next frontier for innovation,competition,and productivity[EB/OL].[2015-09-20].http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation.
[2] 孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013(1):146-169.
[3] 中国政府网.促进大数据发展行动纲要[EB/OL].[2015-09-20].http://www.gov.cn/zhengce/content/2015-09/05/content_10137.htm.
[4] Big data across the federal government[EB/OL].[2015-09-25].https://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_press_release_final_2.pdf.
[5] 贺德方.大数据环境下的情报学[J].数字图书馆论坛,2012(11):2-5.
[6] 曾建勋,魏来.大数据时代的情报学变革[J].情报学报,2015(1):37-44.
[7] 贺德方.工程化思维下的科技情报研究范式——情报工程学探析[J].情报学报,2014(12):1236-1241.
[8] 林荣扬.略谈工厂情报工程师需具备的素质[J].情报科学,1986(6):89-90.
[9] 王立诚.加强企业情报工程师的培养[J].情报杂志,1989(1):47-48.
[10] 百度百科.卓越工程师教育培养计划[EB/OL].[2015-09-28].http://baike.baidu.com/view/3810178.htm.
[11] 林健."卓越工程师教育培养计划"通用标准研制[J].高等工程教育研究,2010(4):21-29.
[12] 中国政府网.教育部工程院印发卓越工程师教育培养计划通用标准[EB/OL].[2015-10-02].http://www.gov.cn/gzdt/2013-12/20/content_2551949.htm.
[13] National Academy of Engineering.The engineer of 2020:visions of engineering in the new century[M].Washington,DC:National Academy Press,2004:53-57.
[14] SCHNECK D J.Educating students to be creative problem solvers as 21st century engineers[J].Journal of professional issues in engineering education & practice,2002,128(3):100-106.
[15] 何克抗.从Blending Learning看教育技术理论的新发展(上)[J].中国电化教育,2004(3):5-10.
[16] 中国人民大学新闻网.大数据分析硕士培养协同创新平台首期实验班开学[EB/OL].[2015-09-28].http://news.ruc.edu.cn/archives/87458.
文章导航

/

〈 〉