2014
DOI: 10.5038/1936-4660.7.2.3
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How Does One Design or Evaluate a Course in Quantitative Reasoning?

Abstract: In the absence of generally accepted content standards and with little evidence on the learning for long-term retrieval and transfer, how does one design or evaluate a course in quantitative reasoning (QR)? This is a report on one way to do so. The subject QR course, which has college algebra as a prerequisite and has been taught for 8 years, is being modified slightly to be offered as an alternative to college algebra. One modification is adding a significant formal writing component. As the modification occu… Show more

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Cited by 10 publications
(6 citation statements)
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References 13 publications
(19 reference statements)
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“…For instance, 63% (66 of 105) of the items representing LO F (graphs) were also coded with another objective, as were 78% (79 of 101) of items representing LO H (infographics). These results demonstrate the crucial role of mathematical and statistical representations in context-based course design for quantitative literacy and reasoning courses as discussed in the extant literature (e.g., Madison 2014). Second, the comparison by assessment types shows that these two LOs were assessed in each assessment type proportionate to the overall course evaluation distribution.…”
Section: Core Objectives In Assessments: Creating and Interpreting Grsupporting
confidence: 65%
“…For instance, 63% (66 of 105) of the items representing LO F (graphs) were also coded with another objective, as were 78% (79 of 101) of items representing LO H (infographics). These results demonstrate the crucial role of mathematical and statistical representations in context-based course design for quantitative literacy and reasoning courses as discussed in the extant literature (e.g., Madison 2014). Second, the comparison by assessment types shows that these two LOs were assessed in each assessment type proportionate to the overall course evaluation distribution.…”
Section: Core Objectives In Assessments: Creating and Interpreting Grsupporting
confidence: 65%
“…Finally, data‐based activities do take time, and some instructors would prefer to cover more content as opposed to allowing students to form the deeper concept understanding which these data‐based activities promote. However, greater learning is possible with a focus on practicing core quantitative reasoning competencies embedded in EDDIE modules such as: interpretation, representation, calculation, analyses, synthesis, assumptions, and communication 13 . Part of increasing instructor buy‐in may therefore include providing orientation in how students learn inquiry and quantitative reasoning and support for trying out new teaching approaches.…”
Section: Practical Issues With Software In the Classroommentioning
confidence: 99%
“…However, greater learning is possible with a focus on practicing core quantitative reasoning competencies embedded in EDDIE modules such as: interpretation, representation, calculation, analyses, synthesis, assumptions, and communication. 13 Part of increasing instructor buy‐in may therefore include providing orientation in how students learn inquiry and quantitative reasoning and support for trying out new teaching approaches.…”
Section: Practical Issues With Software In the Classroommentioning
confidence: 99%
“…Mathematics literacy is defined as being able to identify what is learned in everyday life and understanding the role that knowledge plays in the world (Ojose, 2011). Demonstrating confidence, or a "productive disposition" (Madison, 2014), when engaging in situations that involve using what has been learned is a mark of literacy (Bybee, 2013). Thus, to develop literacy students need opportunities to learn, develop, and practice their literacy skills in an authentic, experience-based environment.…”
Section: Building Literacy Through Experiencesmentioning
confidence: 99%