Yingqi Cui, Fu Chen, A. Lutsyk, Jacqueline P. Leighton, M. Cutumisu
{"title":"Data literacy assessments: a systematic literature review","authors":"Yingqi Cui, Fu Chen, A. Lutsyk, Jacqueline P. Leighton, M. Cutumisu","doi":"10.1080/0969594X.2023.2182737","DOIUrl":null,"url":null,"abstract":"ABSTRACT With the exponential increase in the volume of data available in the 21st century, data literacy skills have become vitally important in work places and everyday life. This paper provides a systematic review of available data literacy assessments targeted at different audiences and educational levels. The results can help researchers and practitioners better understand the current state of data literacy assessments in terms of issues related to 1) educational levels and audiences; 2) data literacy definitions and competencies; 3) assessment types and item formats; and 4) reliability and validity evidence. The results from the present review led us to conclude that teaching and assessing data literacy is still an emerging field in education. Therefore, high-quality assessment tools are greatly needed to provide valuable insights for students and instructors to monitor progress as well as facilitate and support teaching and learning.","PeriodicalId":51515,"journal":{"name":"Assessment in Education-Principles Policy & Practice","volume":"21 1","pages":"76 - 96"},"PeriodicalIF":2.7000,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Assessment in Education-Principles Policy & Practice","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/0969594X.2023.2182737","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 4
Abstract
ABSTRACT With the exponential increase in the volume of data available in the 21st century, data literacy skills have become vitally important in work places and everyday life. This paper provides a systematic review of available data literacy assessments targeted at different audiences and educational levels. The results can help researchers and practitioners better understand the current state of data literacy assessments in terms of issues related to 1) educational levels and audiences; 2) data literacy definitions and competencies; 3) assessment types and item formats; and 4) reliability and validity evidence. The results from the present review led us to conclude that teaching and assessing data literacy is still an emerging field in education. Therefore, high-quality assessment tools are greatly needed to provide valuable insights for students and instructors to monitor progress as well as facilitate and support teaching and learning.
期刊介绍：
Recent decades have witnessed significant developments in the field of educational assessment. New approaches to the assessment of student achievement have been complemented by the increasing prominence of educational assessment as a policy issue. In particular, there has been a growth of interest in modes of assessment that promote, as well as measure, standards and quality. These have profound implications for individual learners, institutions and the educational system itself. Assessment in Education provides a focus for scholarly output in the field of assessment. The journal is explicitly international in focus and encourages contributions from a wide range of assessment systems and cultures. The journal''s intention is to explore both commonalities and differences in policy and practice.
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