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Yan, Donghui; Davis, Gary E. – Journal of Statistics Education, 2019
"Data science" is a discipline that provides principles, methodology, and guidelines for the analysis of data for tools, values, or insights. Driven by a huge workforce demand, many academic institutions have started to offer degrees in data science, with many at the graduate, and a few at the undergraduate level. Curricula may differ at…
Descriptors: Introductory Courses, Statistics, Data Analysis, Undergraduate Study
Baughman, M. Sue, Ed. – Association of Research Libraries, 2016
"Research Library Issues" ("RLI") focuses on current and emerging topics that are strategically important to research libraries. The articles explore issues, share information, pose critical questions, and provide examples. This issue includes the following articles: (1) Business Intelligence and Data Visualization with Tableau…
Descriptors: Research Libraries, Business Skills, Data Analysis, Visualization
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Winner, Ellen; Hetland, Lois – Arts Education Policy Review, 2008
In an educational system strapped for money and increasingly ruled by standardized tests, arts courses can seem almost a needless extravagance, and the arts are being cut back at schools across the country. One justification for keeping the arts has now become almost a mantra for parents, arts teachers, and even politicians: arts make an…
Descriptors: Art Education, Thinking Skills, Visualization, Innovation
Myatt, Larry – Phi Delta Kappan, 2008
American high school students reflect their disinterest in school and classroom activities through increased disengagement and higher dropout rates. Narrowing our instructional strategies because of our increased focus on testing limits non-text-based activities at exactly the time when visual means dominate student learning. Approaching…
Descriptors: Visual Literacy, High School Students, Teaching Methods, Visualization
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Hammerman, James K.; Rubin, Andee – Statistics Education Research Journal, 2004
New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data,…
Descriptors: Computer Software, Data Analysis, Grade 6, Middle School Teachers