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Vincent-Ruz, Paulette; Binning, Kevin; Schunn, Christian D.; Grabowski, Joe – Chemistry Education Research and Practice, 2018
In chemistry, lack of academic preparation and math ability have been offered as explanations as to why women seem to enroll, perform, and graduate at lower levels than men. In this paper, we explore the alternative possibility that the gender gap in chemistry instead originates from differential gender effects of academic factors on students'…
Descriptors: Science Instruction, Females, Chemistry, Sciences
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Ferrell, Brent; Phillips, Michael M.; Barbera, Jack – Chemistry Education Research and Practice, 2016
Student success in chemistry is inherently tied to motivational and other affective processes. We investigated three distinct constructs tied to motivation: self-efficacy, interest, and effort beliefs. These variables were measured twice over the course of a semester in three sections of a first-semester general chemistry course (n = 170). We…
Descriptors: Chemistry, Science Instruction, Student Motivation, Science Achievement
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Siweya, Hlengani J.; Letsoalo, Peter – Chemistry Education Research and Practice, 2014
This study investigated whether formative assessment is a predictor of summative assessment in a university first-year chemistry class. The sample comprised a total of 1687 first-year chemistry students chosen from the 2011 and 2012 cohorts. Both simple and multiple linear regression (SLR and MLR) techniques were applied to perform the primary aim…
Descriptors: Formative Evaluation, Chemistry, Science Instruction, Summative Evaluation
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Stamovlasis, Dimitrios – Chemistry Education Research and Practice, 2010
The aim of the present paper is two-fold. First, it attempts to support previous findings on the role of some psychometric variables, such as, M-capacity, the degree of field dependence-independence, logical thinking and the mobility-fixity dimension, on students' achievement in chemistry problem solving. Second, the paper aims to raise some…
Descriptors: Chemistry, Problem Solving, Robustness (Statistics), Multiple Regression Analysis