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A Multiple Regression Analysis of Gender, Self-Directed Learning, and Algebra Grades among Undergraduate Students Enrolled in University Science, Technology, Engineering, and Mathematics Programs
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Winnifred Johnson-Carr – ProQuest LLC, 2023
Evidence suggests females' mathematics skills and abilities are not as well developed as males resulting in females being underrepresented in science, technology, engineering, and mathematics (STEM) career fields. In addition, self-directed learning readiness (SDLR) plays a role in academic performance, giving those with greater SDLR and…
Descriptors: Multiple Regression Analysis, Gender Differences, Learning Strategies, Algebra