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McHenry, William K. – Journal of Information Systems Education, 2022
Students now have readily available and powerful tools to access, manipulate, combine, and visualize data. Acquiring data and visual literacy requires more than knowledge of how to use these tools. Students need to engage with assignments that challenge them to make relatively complex visualizations, interpret them, and explain why these…
Descriptors: Visual Aids, Scoring Rubrics, Feedback (Response), Data Interpretation
Rubel, Laurie H.; Nicol, Cynthia; Chronaki, Anna – Educational Studies in Mathematics, 2021
Data visualizations have proliferated throughout the COVID-19 pandemic to communicate information about the crisis and influence policy development and individual decision-making. In invoking exponential growth, mathematical modelling, statistical analysis, and the like, these data visualizations invite opportunities for mathematics teaching and…
Descriptors: Mathematics Education, Data Use, Data Interpretation, Visual Aids
Bolch, Charlotte; Crippen, Kent – Statistics Education Research Journal, 2022
The purpose of the study was to understand the experiences of data scientists regarding common skills and strategies of interpreting and creating data visualizations. In this Delphi study, the participants were researchers in Data Science using three rounds of surveys. Skills and strategies were identified after Delphi Panel 1 and then brought…
Descriptors: Statistics Education, Visual Aids, Data Analysis, Delphi Technique
Ann Marie Cotman; F. Chris Curran; Katharine Harris-Walls – Education Policy Analysis Archives, 2024
Choices made on data visualizations guide how users make meaning of the information presented. This research investigates design decisions made on 115 state-level dashboards reporting school safety data. Using pre-determined codes drawn from a framework of visualization rhetoric, dashboard characteristics were described and analyzed. Analysis…
Descriptors: School Safety, Data, Visual Aids, State Agencies