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Charlotte A. Bolch; Tim Jacobbe – Numeracy, 2019
Statistical literacy refers to two interrelated components: people's ability to interpret and critically evaluate statistical information, and their ability to discuss or communicate their reactions to statistical information. The ability to read and interpret graphical displays is part of statistical literacy because much of the statistical…
Descriptors: Visual Aids, Data Analysis, Statistics Education, Introductory Courses
Ming Xie; H. L. Vacher; Steven Reader; Elizabeth Walton – Numeracy, 2018
We define quantitative map literacy (QML), a cross between map literacy and quantitative literacy (QL), as the concepts and skills required to accurately read, use, interpret, and understand the quantitative information embedded in a geospatial representation of data on a geographic background. Long used as tools in technical geographic fields,…
Descriptors: Map Skills, Numeracy, Mathematics Skills, Information Literacy
Younggon Bae; Samuel L. Tunstall; Kathryn S. Knowles; Rebecca L. Matz – Numeracy, 2019
In this analysis, we examine how course assessment items were aligned with learning objectives in a quantitative literacy course at Michigan State University. The alignment analysis consisted of mapping assessment items to a list of operationalized learning objectives from the course. Our analysis shows how often the learning objectives are…
Descriptors: Alignment (Education), Educational Objectives, Statistics Education, Evaluation Methods
Nathan J. Antonacci; Michael Rogers; Thomas J. Pfaff; Jason G. Hamilton – Numeracy, 2017
This three-year study focused on first-year Calculus I students and their abilities to incorporate figures in technical reports. In each year, these calculus students wrote a technical report as part of the Polar Bear Module, an educational unit developed for use in partner courses in biology, computer science, mathematics, and physics as part of…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Reports

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