In the past decades, College Algebra has become a big hurdle for students to graduate or further pursue STEM or related careers. For most of the student population, College Algebra is a terminal course and only a small portion of students take it for further mathematics courses. The traditional content of College Algebra does not serve either group of students well (Mathematical Association of America, 2004; Mathematical Association of America & National Council of Teachers of Mathematics, 2012). In recent years, at a large Hispanic-serving university, the course design for liberal arts students has been changed. An active-learning curriculum has been implemented, namely Quantitative Reasoning. This curriculum engages students with opportunities to learn math concepts from relevant everyday sources and even their own personally collected data. Students build their own understanding of mathematics by relevant data-based situations experienced through preview activities designed to prepare students for class, collaboration in class discussion and discovery through relevant problem situations, and practice activities extending learning after each lesson. The purpose of this study was to investigate student perceptions of their learning outcomes from an active-learning structured course. That is, what impact does a course design with pre-assignment tasks, authentic problem solving through collaboration in class, and practice assignments after lessons have on diverse student populations in a quantitative reasoning course?
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