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iRubric: Quantitative Reasoning rubric

iRubric: Quantitative Reasoning rubric

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Quantitative Reasoning 
Quantitative Reasoning
Quantitative reasoning refers to the ability to think critically and analytically using abstract formal methods with broad application. In 1982, the Undergraduate Curriculum Review Committee wrote that a quantitative reasoning course "... must acquaint the student with how to analyze, manipulate, and understand quantitative data." We support the broader view that a quantitative reasoning course should foster critical thinking skills and develop formal reasoning abilities. That is, " quantitative reasoning" can be understood to include reasoning with formal symbols, as well as with numbers. We recognize that certain courses in symbolic logic and computer science, in addition to mathematics and statistics, can promote the goals of the quantitative reasoning requirement.
Rubric Code: HXXB8B4
By dblighwv
Draft
Public Rubric
Subject: (General)  
Type: (Other)  
Grade Levels: (none)

Powered by iRubric Quantitative Reasoning
Drafted course criteria and learner outcomes
  Not clear how met

There is insufficient information to show how this criteria is met. Need more information.

1 pts

Met sufficiently well

Sufficient evidence shows that this is addressed through course assignments and experiences. Expectations for students is clearly explained.

2 pts

Outstanding

Syllabus and assignments clearly show methods by which this is addressed; explanations of student expectations and learning objectives are outstanding.

3 pts

Course Criteria
Courses with the Quantitative Reasoning Attribute will encourage students to


Enhance their ability to make decisions and solve practical problems of a quantitative nature in everyday life.
Not clear how met
Met sufficiently well
Outstanding


Formulate and solve problems involving relationships between several quantitative variables including the variable of time.
Not clear how met
Met sufficiently well
Outstanding


Illuminate the role of abstraction of mathematical and/or statistical models from context to illustrate the broad applicability of concepts across multiple disciplines of inquiry.
Not clear how met
Met sufficiently well
Outstanding


Develop both formal analytical reasoning ability and appropriate computational skills as means to visualize, and draw inferences from, the complex quantitative interactions that are inherent in many real-world problems.
Not clear how met
Met sufficiently well
Outstanding


Convey the methods of disciplined quantitative reasoning by emphasizing constant questioning of assumptions, detection of fallacies, appraisal of risks, and the delineation of sources of bias and error.
Not clear how met
Met sufficiently well
Outstanding
Expected Outcomes
Upon completion, students should be able to


Formulate questions among quantitative variables
Not clear how met
Met sufficiently well
Outstanding


Demonstrate competency in mathematical computation
Not clear how met
Met sufficiently well
Outstanding


Solve practical problems of a quantitative nature in everyday life.
Not clear how met
Met sufficiently well
Outstanding


Demonstrate skills in quantitative decision making
Not clear how met
Met sufficiently well
Outstanding


Apply mathematical concepts and/or statistical models across multiple contexts and disciplines
Not clear how met
Met sufficiently well
Outstanding


Demonstrate skills in disciplined quantitative reasoning through questioning of assumptions, appraisal of risks, and identifying sources of bias and error.
Not clear how met
Met sufficiently well
Outstanding


Demonstrate skills in formal analytical reasoning.
Not clear how met
Met sufficiently well
Outstanding




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