[Purpose/Significance] This paper investigates the data visualization courses of internationally renowned universities, summarizes their curriculums settings and characteristics, and provides suggestions for construction of data visualization course in the departments of library and information in China. [Method/Process] By using internet search and content analysis method, 53 universities among QS top 100 universities in the world that offers courses related to data visualization were selected to investigate how the courses related to data visualization are taught in four dimensions: leading knowledge, teaching plan, course content and assessment methods. [Results/Conclusion] 53 of the top 100 universities in the QS world university rankings offers data visualization courses. The investigated cases show that the data visualization courses are highly acknowledged. The course is interdisciplinary. The teaching content combines theory and practice. Some universities have set up the teaching of the knowledge of data visualization as a major. The departments of library and information science in China can make use of DVL-FW process model to design the core content of data visualization courses and learn experience from internationally renowned universities. Studying the tool that can be used to visualize data, critical thinking, ethics, and other auxiliary skills should be emphasize in the teaching as well.
Jin Jieqin
,
Li Jialing
. Investigation on Data Visualization Related Courses in Internationally Renowned Universities[J]. Library and Information Service, 2023
, 67(20)
: 93
-104
.
DOI: 10.13266/j.issn.0252-3116.2023.20.009
[1] BORNER K, BUECKLE A, GINDA M, et al. Data visualization literacy:definitions, conceptual frameworks, exercises, and assessments[J]. Proceedings of the National Academy of Sciences, 2019, 116(6):1857-1864.
[2] 霍朝光, 卢小宾. 数据可视化素养研究进展与展望[J]. 中国图书馆学报, 2021, 47(2):79-94. (HUO C G, LU X B. Review and outlook of data visualization literacy[J]. Journal of library science in China, 2021, 47(2):79-94.)
[3] ADAR E, LEE-ROBBINS E. Roboviz:a game-centered project for information visualization education[J]. IEEE transactions on visualization and computer graphics, 2022, 29(1):268-277.
[4] DIAS P, MADEIRA J, SANTOS B S. Teaching 3D modelling and visualization using VTK[J]. Computers and graphics, 2008, 32(3):363-370.
[5] SILVA C T, ANDERSON E, SANTOS E, et al. Using vistrails and provenance for teaching scientific visualization[J]. Computer graphics forum, 2015, 30(1):75-84.
[6] ZHU Y. Introducing Google chart tools and Google maps API in data visualization courses[J]. IEEE computer graphics and applications, 2012, 32(6):6-9.
[7] NESTOROV S, JUKIC N, ROSSI S. Design and implementation of a data visualization course with a real-world project component in an undergraduate information systems curriculum[J]. Journal of information systems education, 2019, 30(3):202-211.
[8] HE S, ADAR E. Vizitcards:a card-based toolkit for infovis design education[J]. IEEE transactions on visualization and computer graphics, 2016, 23(1):561-570.
[9] SANTOS B S. An introductory course on visualization[J]. Computers and graphics, 2000, 24(1):163-169.
[10] KERREN A. Information visualization courses for students with a computer science background[J]. IEEE computer graphics and applications, 2013, 33(2):12-15.
[11] 刘晓娟, 李歆然, 孙镘莉, 等. iSchool联盟成员的可视化相关课程设置调查研究[J]. 图书情报工作, 2022, 66(2):57- 65. (LIU X J, LI X R, SUN M L, et al. Investigation and research on the visualization related course settings of iSchool alliance members[J]. Library and information service, 2022, 66(2):57-65.)
[12] 符玉霜. 国内外数据可视化MOOC调查与分析[J]. 图书馆学研究, 2021(9):20-27. (FU Y S. Domestic and foreign data visualization MOOC survey and analysis[J]. Researches in library science, 2021(9):20-27.)
[13] 望俊成, 武山山, 梁娜, 等. 基于"知识维-职场维-用户维"的课程需求调查研究——以《数据可视化》课程需求调查为例[J]. 情报学报, 2016, 35(8):793-799. (WANG J C, WU S S, LIANG N, et al. A research on curriculum needs based on "knowledge-vocation-students"——taking data visualization course for example[J]. Journal of the China Society for Scientific and Technical Information, 2016, 35(8):793-799.)
[14] 望俊成, 李幸, 郭传斌, 等. 中信所《数据可视化》课堂的设计:基于翻转课堂的理念[J]. 情报学报, 2016, 35(8):800- 805. (WANG J C, LI X, GUO C B, et al. Curriculum design of "data visualization" in ISTIC:based on the concept of flipped classroom[J]. Journal of the China Society for Scientific and Technical Information, 2016, 35(8):800-805.)
[15] ZHU X M, SUN B, LUO Y L. Interactive learning system "VisMis" for scientific visualization course[J]. Interactive learning environments, 2018, 26(4):553-565.
[16] 李谦升. 挖掘数据之美——信息可视化课程在艺术院校中的教学实践[J]. 装饰, 2017(1):112-114. (LI Q S. Discovering the beauty of data:teaching practice of information visualization design course at art school[J]. Zhuangshi, 2017(1):112-114.)
[17] Warwick University. Centre for interdisciplinary methodologies[EB/OL].[2023-08-10]. https://warwick.ac.uk/fac/cross_fac/cim/.