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Rubric

Assessment: Rubric for Assessing Quantitative Reasoning Learning Outcomes

Learning Outcome Unsatisfactory Satisfactory Outstanding
Apply logical and symbolic analysis to different kinds of problems

Cannot apply logical and symbolic analysis appropriately or only to selected problems

Can apply logical and symbolic analysis appropriately to different kinds of problems

Can apply logical and symbolic analysis to all appropriate problems at a highly advanced level

Model phenomena with mathematical or logical reasoning

Estimations/computations are incomplete or otherwise unsuccessful

Cannot model phenomena using such reasoning and/or fails to make and evaluate important assumptions in modeling

Can model phenomena with such reasoning and demonstrates correct evaluation of important assumptions Can model phenomena using such reasoning in a sophisticated way that may shed new light on the phenomena
Represent quantitative information in different forms (e.g., equations, graphs, diagrams, tables, text)

Representation is inappropriate or inaccurate in one or more forms; interferes with understanding of information

Representation is accurate in all forms and supports understanding of information Representation is accurate and unusually clear in all forms and facilitates new insights into information
Describe numerical data presented in different forms (e.g., equations, graphs, diagrams, tables, words) Provides inaccurate description of numerical data Provides accurate description of numerical data Provides accurate description of numerical data in a way that is exceptionally clear or useful

Use quantitative techniques to estimate or compute a result

Estimations/computations are incomplete or otherwise unsuccessful

Estimations/computations are essentially all successful and sufficiently comprehensive to solve the problem

Estimations/computations are essentially all successful, sufficiently comprehensive to solve the problem, and presented exceptionally well (clearly, concisely, etc.)

Develop appropriate inferences and conclusions from numerical data

Inappropriate or incorrect inferences/conclusions developed from numerical data Correct inferences/conclusions developed from numerical data Correct inferences/conclusions developed from numerical data, explained in an exceptionally clear or useful way

Critically evaluate key assumptions and limitations of one's own work as well as others' inferences and conclusions

Does not successfully evaluate assumptions and limitations of others' inferences and conclusions; has not included critical evaluation of own work

Successfully evaluates assumptions and limitations of both one's own work and others' inferences and conclusions Evaluates assumptions and limitations of both one's own work and others' inferences and conclusions in an insightful way that may shed new light on the work

Use communication (written, visual, oral) to express a quantitative argument, inference, or conclusion

Poor communication practices obscure the argument, inference, or conclusion Effective communication practices facilitate understanding of the argument, inference, or conclusion Superb communication practices facilitate understanding at an unusually high level through clarity, creativity, and understanding of audience

Material from AAC&U VALUE Quantitative Literacy rubric excerpted with permission from Assessing Outcomes and Improving Achievement: Tips and Tools for Using Rubrics, edited by Terrel L. Rhodes. Copyright 2010 by the Association of American Colleges and Universities.

Last updated: 12/17/2020