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大数据通识课程教学探索与实践 被引量:3

Teaching Exploration and Practice of Big Data General Course
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摘要 为了解决社会急需大量大数据复合型人才的问题,在前期针对特定专业学生进行大数据通识课程实践的基础上,面向全校所有专业学生开展大数据通识教育教学探索与实践。围绕大数据通识教育培养对象、培养目标以及混合式教学理念,结合通识课程一般为大班教学的特点,提出一种大数据通识课程的教学方案,包括建立专题式教学内容、采用混合式教学方法,以及重教学过程和能力培养的课程考核评价机制。问卷调查结果显示,99.2%的学生在课程学习后对大数据有一定甚至深度理解。研究表明,课程的开展能有效提升学生的大数据素养和大数据应用能力。 In order to solve the problem that the society needs a large number of big data compound talents,based on the practice of big data general course for specific majors in the early stage,carry out the exploration and practice of big data general education for all majors in the university.Focusing on the training objects,training objectives and blended teaching concept of big data general educa⁃tion,combined with the characteristics that general courses are normally large-class teaching,a teaching plan for big data general edu⁃cation courses is proposed,including the establishment of topic-based teaching content,the adoption of blended teaching methods,and the curriculum assessment and evaluation mechanism focusing on teaching process and ability cultivation.According to the survey data,99.2%of the students have a general or even deep understanding of big data after learning this course.The development of the course can effectively improve students'big data literacy and big data application ability.
作者 钟世芬 柳荣其 何忠秀 陈红红 ZHONG Shi-fen;LIU Rong-qi;HE Zhong-xiu;CHEN Hong-hong(School of Computer and Software Engineering,Xihua University,Chengdu 610039,China)
出处 《软件导刊》 2021年第12期212-215,共4页 Software Guide
基金 四川省教育厅科研项目(18ZB0562) 西华大学教学改革重点项目(Xjjg2019028)。
关键词 大数据 通识课程 人才培养 数据素养 混合式教学 big data general course talent training data literacy blended teaching
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  • 1田富鹏,焦道利.信息化环境下高校混合教学模式的实践探索[J].电化教育研究,2005,26(4):63-65. 被引量:204
  • 2王佑镁,祝智庭.从联结主义到联通主义:学习理论的新取向[J].中国电化教育,2006(3):5-9. 被引量:238
  • 3Carlson J, Fosmire M, Miller C C, et al. Determining Data Information Literacy Needs: A Study of Students and Research Faculty[J]. Por- tal Libraries & the Academy, 2011, 11 (2) :629-657.
  • 4Kristin Fontichiaro. Data and information literacy starts with librarians I EB/OL~. ~ 2015-11-011. https ://www. si. umich, edu/news/data- and-information-literacy-starts-librarians.
  • 5Lise Doucette, Bruce Fyfe. Drowning in Research Data: Addressing Data Management and Literacy of Graduate Studentsl J~. ACRL Con- ference 2013, 2013:165-171.
  • 6Haendel M A, Vasilevsky N A, Wirz J A. Dealing with Data: A Case Study on Information and Data Management Literacy~Jl. Plos Biolo- gy, 2012, 10(5):e1001339-e1001339.
  • 7Jian Qin, John D' ignazio. The Central Role of Metadata in a Science Data Literacy Course~ Jl ~ Journal of Library Metadata, 2010, 10 (2) : 188-204.
  • 8Ivo Batistic, Jadranka Stojanovski. Worldwide Commonalities and Challenges in Information Literacy Research and Practicel M]. ECIL Conference 2013, Istanbul, Turkey, 2013, 10 ( 22-25 ) : 664.
  • 9The Road to Dignity by Ending Poverty. The Road to Dignity by 2030: Ending Poverty, Transforming All Lives And Protecting The Planet [J]. New York United Nations, 2014(12).
  • 10Association of College and Research Libraries. Working Group on Intersections of Scholarly Communication and Information Literacy. Inter- sections of Scholarly Communication and Information Literacy.. Creating Strategic Collaborations for a Changing Academic Environment. Chicago, IL : Association of College and Research Libraries, 2013 [ EB/OL1. E 2015-10-311. http ..//acrl. ala. org/intersections Arkaitz Zubiaga,.

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