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Katherine Follette; Sanlyn Buxner; Erin Dokter; Donald McCarthy; Beau Vezino; Laci Brock; Edward Prather – Numeracy, 2017
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…
Descriptors: Student Characteristics, Student Attitudes, Scores, Predictor Variables
Ronau, Robert N.; Rakes, Christopher R.; Bush, Sarah B.; Driskell, Shannon O.; Niess, Margaret L.; Pugalee, David K. – American Educational Research Journal, 2014
We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Dissertation studies earned an average of 64.4% of the possible quality points across all methodology types, compared to studies in journals that averaged 47.2%.…
Descriptors: Mathematics Education, Educational Technology, Doctoral Dissertations, Mentors
Boyle, Robert W.; Farreras, Ingrid G. – International Journal of Research in Education and Science, 2015
This experiment tested the effect that calculator use had on 200 randomly assigned college students' mathematical performance. The purposes of the current experiment were twofold: to measure the level of mathematical preparation of current college students, and to test whether calculators improve mathematical performance in such students as it…
Descriptors: Calculators, Technology Uses in Education, Educational Technology, Mathematics Achievement

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