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University of South Florida

2017

Quantitative literacy

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Preliminary Evaluation Of The Psychometric Quality Of HeightenTm Quantitative Literacy, Katrina C. Roohr, Hyesun Lee, Jun Xu, Ou Lydia Liu, Zhen Wang Jul 2017

Preliminary Evaluation Of The Psychometric Quality Of HeightenTm Quantitative Literacy, Katrina C. Roohr, Hyesun Lee, Jun Xu, Ou Lydia Liu, Zhen Wang

Numeracy

Quantitative literacy has been identified as an important student learning outcome (SLO) by both the higher education and workforce communities. This paper aims to provide preliminary evidence of the psychometric quality of the pilot forms for HEIghten quantitative literacy, a next-generation SLO assessment for students in higher education. We evaluated the psychometric quality of the test items (e.g., item analyses), individual- and group-level reliability, the relationship with student performance and related variables (e.g., grade point average) as well as student perceptions, and differences across college-related and demographic subgroups. Our study used data from a pilot test administered to over 1,500 …


Ten Years, Twenty Issues, And Two Hundred Papers Of Numeracy: Toward International Reach And Transdisciplinary Utility, H. L. Vacher Jul 2017

Ten Years, Twenty Issues, And Two Hundred Papers Of Numeracy: Toward International Reach And Transdisciplinary Utility, H. L. Vacher

Numeracy

This issue completes the first ten years of Numeracy. The purpose of this introductory editorial is to review what has happened to the journal in those ten years. In the twenty issues, Numeracy’s output has been 201 papers counting the one or two editorials per issue. More than 50% of the papers are full, peer-reviewed articles, including 13 papers in two theme collections. The others are peer-reviewed notes and perspectives, editor-reviewed book reviews (15% of the total), and a column by contributing co-editor, Dorothy Wallace. The current issue marks an upswing in the number of notes, and our …


A Twenty-Year Look At “Computational Geology,” An Evolving, In-Discipline Course In Quantitative Literacy At The University Of South Florida, Victor J. Ricchezza, H. L. Vacher Jan 2017

A Twenty-Year Look At “Computational Geology,” An Evolving, In-Discipline Course In Quantitative Literacy At The University Of South Florida, Victor J. Ricchezza, H. L. Vacher

Numeracy

Since 1996, the Geology (GLY) program at the USF has offered “Computational Geology” as part of its commitment to prepare undergraduate majors for the quantitative aspects of their field. The course focuses on geological-mathematical problem solving. Over its twenty years, the course has evolved from a GATC (geometry-algebra-trigonometry-calculus) in-discipline capstone to a quantitative literacy (QL) course taught within a natural science major. With the formation of the new School of Geosciences in 2013, the merging departments re-examined their various curricular programs. An online survey of the Geology Alumni Society found that “express quantitative evidence in support of an argument” was …


The Quantitative Reasoning For College Science (Quarcs) Assessment 2: Demographic, Academic And Attitudinal Variables As Predictors Of Quantitative Ability, Katherine Follette, Sanlyn Buxner, Erin Dokter, Donald Mccarthy, Beau Vezino, Laci Brock, Edward Prather Jan 2017

The Quantitative Reasoning For College Science (Quarcs) Assessment 2: Demographic, Academic And Attitudinal Variables As Predictors Of Quantitative Ability, Katherine Follette, Sanlyn Buxner, Erin Dokter, Donald Mccarthy, Beau Vezino, Laci Brock, Edward Prather

Numeracy

In this article, we explore the ability of demographic and attitudinal variables to predict student scores on the Quantitative Reasoning for College Science (QuaRCS) Assessment. Variables measured by the assessment include: students' academic choices and plans, attitudes and perceptions regarding mathematics, self-reported effort level, and basic demographics such as age, race/ethnicity, gender and disability status. As in previously published numeracy studies, we find significant score deviations according to gender, race/ethnicity, and disability status; however, the effect size of these correlations pale in comparison to the effect size of affective/attitudinal variables on QuaRCS score. A large number of variables with …