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http://dx.doi.org/10.6109/jkiice.2021.25.11.1696

Development on Korean Visualization Literacy Assessment Test(K-VLAT) and Research Trend Analysis  

Kim, Ha-Neul (Department of IT Convergence, Dong-eui University)
Kim, Sung-Hee (Department of Industrial ICT Technology, Dong-eui University)
Abstract
With the recent growth of information technology, various literacy such as digital literacy, data literacy, AI literacy is being studied. In this paper, we focus on data visualization literacy as visualization is an essential part of big data analysis and is used in several mobile apps. Visualization Literacy Assessment Test(VLAT) was developed in 2016 and we introduce how the test was developed and modified to a Korean version, K-VLAT. K-VLAT is consisted of 12 visualizations and 53 questions through a website. Additionally, to understand the research trend in visualization literacy we analyzed 81 papers that had cited the VLAT publication. We categorized the research into 4 categories with 11 sub-categories. The area of studies visualization literacy related to was understanding the relation with cognition, expanding the literacy measures, relation with education, utilization for developing user-centric dashboards or using the test to show effectiveness of visualizations. At last, we discuss about different ways to utilize K-VLAT for future research.
Keywords
Data visualization; Visualization literacy; Assessment test; Education;
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