CSU East Bay ILO Quantitative Reasoning Draft Rubric 2-4-17 Approved for Pilot Description: Quantitative Reasoning (QR) is competency and comfort in working with numerical data. It involves – understanding and applying mathematics/statistics to analyze and interpret real-world quantitative information in a disciplinary context. Individuals with strong QR skills possess the ability to reason about and solve quantitative problems from a wide array of contexts. They understand and can create sophisticated arguments and conclusions supported by quantitative evidence and can clearly communicate those in a variety of formats (using words, tables, graphs, mathematical equations, etc., as appropriate). 4 3 2 1 Problem Formulation Formulation of the Formulation of Formulation of Formulation of Translation of the problem is the problem is the problem is the problem is disciplinary/real-world problem comprehensive adequate and limited; incorrect or into a QR context (e.g., writing a and placed in an placed in an explanation of missing; hypothesis, a math model, appropriate appropriate the context is explanation of the quantitative instrumentation). quantitative quantitative somewhat context is Use and interpretation of context. context. incorrect or incorrect or quantitative data/information to incomplete. incomplete. identify or formulate a problem. Representation/Visualization Accurate and Mostly accurate Somewhat Inaccurate, Depiction of quantitative appropriate and appropriate accurate and/or inappropriate, or information such as visual (e.g., display of display of appropriate missing display of figures, charts, tables, equations) quantitative quantitative display of quantitative and non-visual (e.g., ADA information using information. May quantitative information. May accessibility). academic contain minor information. May contain major vocabulary with errors in contain major errors in correct symbols, academic errors in academic units, scale, etc. vocabulary, academic vocabulary, symbols, units, vocabulary, symbols, units, scale, etc. symbols, units, scale, etc. scale, etc. Quantitative Analysis Appropriate and Mostly Somewhat Inappropriate and Selection of analytical methods accurate selection appropriate and appropriate inaccurate (e.g., data analysis, solution and use of analytic accurate and/or selection and use technique). methods. selection and use somewhat of analytic Use of the selected analytical of analytic accurate methods. method. methods. selection and use of analytic methods.
CSU East Bay ILO Quantitative Reasoning Draft Rubric 2-4-17 Approved for Pilot Description: Quantitative Reasoning (QR) – is competency and comfort in working with numerical data. It involves understanding and applying mathematics/statistics to analyze and interpret real-world quantitative information in a disciplinary context. Individuals with strong QR skills possess the ability to reason about and solve quantitative problems from a wide array of contexts. They understand and can create sophisticated arguments and conclusions supported by quantitative evidence and can clearly communicate those in a variety of formats (using words, tables, graphs, mathematical equations, etc., as appropriate). 4 3 2 1 Problem Formulation Translation of the disciplinary/real-world problem into a QR context (e.g., writing a hypothesis, a math model, quantitative instrumentation). Use and interpretation of quantitative data/information to identify or formulate a problem. Formulation of the problem is comprehensive and placed in an appropriate quantitative context. Formulation of the problem is adequate and placed in an appropriate quantitative context. Formulation of the problem is limited; explanation of the context is somewhat incorrect or incomplete. Formulation of the problem is incorrect or missing; explanation of the context is incorrect or incomplete. Representation/Visualization Depiction of quantitative information such as visual (e.g., figures, charts, tables, equations) and non-visual (e.g., ADA accessibility). Accurate and appropriate display of quantitative information using academic vocabulary with correct symbols, units, scale, etc. Mostly accurate and appropriate display of quantitative information. May contain minor errors in academic vocabulary, symbols, units, scale, etc. Somewhat accurate and/or appropriate display of quantitative information. May contain major errors in academic vocabulary, symbols, units, scale, etc. Inaccurate, inappropriate, or missing display of quantitative information. May contain major errors in academic vocabulary, symbols, units, scale, etc. Quantitative Analysis Selection of analytical methods (e.g., data analysis, solution technique). Use of the selected analytical method. Appropriate and accurate selection and use of analytic methods. Mostly appropriate and accurate selection and use of analytic methods. Somewhat appropriate and/or somewhat accurate selection and use of analytic methods. Inappropriate and inaccurate selection and use of analytic methods.
ilo-quantitative-reasoning-rubric.docx