读写能力
可靠性(半导体)
计算机科学
信息素养
领域(数学)
质量(理念)
系统回顾
心理学
医学教育
数据科学
数学教育
教育学
政治学
医学
梅德林
法学
功率(物理)
哲学
物理
数学
认识论
量子力学
纯数学
作者
Ying Cui,Fu Chen,Alina Lutsyk,Jacqueline P. Leighton,Maria Cutumisu
标识
DOI:10.1080/0969594x.2023.2182737
摘要
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.
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