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大数据时代英语师范生数据素养培养路径研究 被引量:1

Research on Data Literacy Training Path of English Normal Students in the Age of Big Data
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摘要 数据素养是对媒介素养、信息素养等概念的一种延续和扩展,包括数据敏感性、数据收集能力、数据分析与处理能力、利用数据进行决策的能力和数据批判性思维。它是大数据时代背景下对公民提出的新要求。对英语专业师范生进行数据素养教育,是提升英语教师数据应用能力的有效措施。针对教育大数据环境下英语师范生数据素养的发展需求,分析具备良好数据素养的英语师范生的优势,并提出多种培养路径。希望通过国家、学校和教师的努力,提高英语师范生的数据素养,最终使全民数据素养得到发展。 Data literacy is a continuation and extension of the concepts of media literacy and information literacy,including data sensitivity,data collection ability,data analysis and processing ability,data decision-making ability and data critical thinking.It is a new requirement for citizens in the era of big data.Data literacy education for English majors is an effective measure to improve the data application ability of English teachers.Aiming at the development needs of data literacy of English teachers’students in the environment of big data in education,this paper analyses the advantages of English teachers’students with good data literacy,and puts forward various training paths.It is hoped that through the efforts of the state,schools and teachers,the data literacy of English teachers’students will be improved,and finally the data literacy of the whole people will be developed.
作者 王丽媛 张岩 郭赛楠 Wang Liyuan;Zhang Yan;Guo Sainan(Mudanjiang Normal University,Mudanjiang Heilongjiang 157011,China)
机构地区 牡丹江师范学院
出处 《信息与电脑》 2019年第11期242-243,246,共3页 Information & Computer
基金 黑龙江省高校教学改革重大委托项目、搭建产学研合作平台“提升计算机专业学生设计研发能力的研究与实践”(项目编号:SJGZ20170016)
关键词 大数据 英语师范生 数据素养 培养路径 big data english normal students data literacy training path
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  • 1Bellistan C J, Boruff- Jones P, Davis - Kahl S, et al. Intersections of Scholarly Communication and Information Literacy: Creating Strategic Collaboratians for a Changing Academic Environment [J]. White Pa- per, 2013: 10- 11.
  • 2Schield M. Information Literacy, Statistical Literacy and Data Literacy [J]. IASSISTQuarterly, 2004, 28 (2/3): 6-11.
  • 3ACRL. Information literacy standards for anthropology and sociology students [ EB/OL]. http://www, ala. org/acrl/standards/anthro soc standards, 2014 - 03 - 29/2014 - 12 - 18.
  • 4Schneider R. Research data literacy [M]. Worldwide Commonalities and Challenges in Information Literacy Research and Practice. Springer International Publishing, 2013: 134- 140.
  • 5Jian Qin and John D'Ignazio. "Lessons learned from a two - year expe- rience in science data literacy education", in Proceedings of the 31st Annual IATUL Conference (June, 20 - 24 2010), http://docs, lib. purdue, edu/iatu12010/eonf/day2/5 (Date of access 17. 1. 2014).
  • 6KohayT. Big data, big litcracies? [J]. Information, Conunica- tion & Society, 2012, 15: 663.
  • 7Deahl E S. Better the Data You Know: Devdoping Youth Data Litera- cy in Schools and Informal Learning Environments [ J ]. Available at SSRN, 2014.
  • 8Jacob Carlson et al. Determining data information literacy needs: A study of students and research faculty [ J]. Portal: Libraries and the Academy, 2011, (11): 629.
  • 9Data literacy [EB/OL]. http: Jjen. wikipedia, org/wiki/Data_litera- cy, 2014 10 26/2015 01 08.
  • 10Jian Qin and John D'Ignazio. "Lessons learned from a two - year ex- perience in science data literacy education", in Proceedings of the 31st Annual IATUL Conference (June, 20 - 24 2010), http: ffdocs, lib. purdue, edu/iatul2OlO/conf/day2/5 (Date of access 17. 1. 2014).

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