A Comparison of Students’ Quantitative Reasoning Skills in STEM and Non-STEM Math Pathways

Q3 Mathematics Numeracy Pub Date : 2020-05-01 DOI:10.5038/1936-4660.13.2.1309
Emily Elrod, Joo Young Park
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引用次数: 3

Abstract

Quantitative Reasoning (QR) is essential for today’s students, yet most higher education institutions have not effectively addressed this issue. This study investigates students’ quantitative reasoning in STEM and Non-STEM math pathways using a non-proprietary, NSF grant-funded instrument, the Quantitative Literacy & Reasoning Assessment (QLRA). Participants were students enrolled in at least one college-level math pathway course at a large public institution in the southeastern US. The results showed a significant difference between STEM and Non-STEM students’ QLRA scores, with STEM students (n = 244, M = 27%, SD = 16.21%) scoring, on average, about 6% higher than Non-STEM students (n = 295, M = 21.1%, SD =11.38%). STEM students who were further along in their math sequence, i.e. Pre-calculus/Trigonometry and Calculus I, had a higher QLRA score than those taking the gateway math courses in that pathway. Non-STEM students who took additional math courses also had a higher QLRA score than those in the entry-level math course. However, the students overall had relatively low QR skills (n = 539, M = 23.78%, SD = 14.07%). These results highlight the need for an increased understanding of the math pathways initiative and its relationship with quantitative reasoning. Thoughtful and deliberate scrutiny of curriculum and pedagogy is important in all math pathways as it relates to the development of quantitative reasoning skills.
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STEM和非STEM数学路径学生数量推理能力的比较
定量推理(QR)对当今学生来说至关重要,但大多数高等教育机构尚未有效解决这一问题。本研究使用一种非专有的、由美国国家科学基金会资助的工具,即定量识字与推理评估(QLRA),调查学生在STEM和非STEM数学途径中的定量推理。参与者是在美国东南部一家大型公共机构注册的至少一门大学水平数学路径课程的学生。结果显示,STEM和非STEM学生的QLRA得分存在显著差异,STEM学生(n=244,M=27%,SD=16.21%)的平均得分为:,比非STEM学生高出约6%(n=295,M=21.1%,SD=11.38%)。在数学顺序上更靠前的STEM学生,即微积分/三角数学和微积分i,其QLRA分数高于在该路径上学习入门数学课程的学生。参加额外数学课程的非STEM学生的QLRA分数也高于入门级数学课程的学生。然而,总体而言,学生的QR技能相对较低(n=539,M=23.78%,SD=14.07%)。这些结果突出表明,需要更多地了解数学路径倡议及其与定量推理的关系。对课程和教学法进行深思熟虑的审查在所有数学课程中都很重要,因为它与定量推理技能的发展有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Numeracy
Numeracy Mathematics-Mathematics (miscellaneous)
CiteScore
1.30
自引率
0.00%
发文量
13
审稿时长
12 weeks
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