To better help museum visitors make sense of large data sets, also called “Big Data”, this study focused on the types of visual representations visitors recognize, and how they make meaning (or not) of various visuals. Individual adults and youths were shown five different data visualizations (one from each of five categories), one at a time, and asked if the visualization looked familiar and how it was read. This study found that Context and previous experience matters. Participants of all ages are familiar with a wide variety of visual displays of data. If a participant encounters a visual
This report combines the views of education researchers, technology developers, educators, and researchers in emerging fields such as educational data mining and technology-supported evidence-centered design to present an expanded view of approaches to evidence. It presents the case for why the transition to digital learning warrants a re-examination of how we think about educational evidence. The report describes approaches to evidence-gathering that capitalize on digital learning data and draws implications for policy, education practice, and R&D funding.
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U.S. Department of EducationOffice of Educational Technology