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**Apply appropriate mathematical and/or scientific concepts and theories in order to interpret data and solve problems based on verifiable evidence.**

1. Identify and extract relevant data from problems, experiments or projects.

2. Organize data into tables, spreadsheets, graphs, symbols, equations and/or other visual representations.

3. Analyze and interpret quantitative and qualitative data using sound mathematical/scientific concepts.

4. Evaluate evidence and decide if conclusions based upon data are valid and consistent.

Criteria | 4-Advanced | 3-Competent | 2-Developing | 1-Beginning | N/A |
---|---|---|---|---|---|

InterpretationAbility to explain information presented in appropriate format |
Provides accurate explanation of information presented in appropriate format. Makes correct inferences based on the information. | Basic concepts of the information are explained but detail is lacking. | Attempts to explain information presented in appropriate format, but draws incorrect conclusions about what the information means. | Draws incorrect conclusions about what the information means. | |

RepresentationAbility to convert relevant information into various formats |
Properly converts relevant information into an accurate representation of the problem/concept. | Proper extraction of data but representation contains inaccuracies. | Data properly extracted but information converted into an inaccurate representation. | Improper extraction of data and inaccurate representation. | |

Calculation |
Correct numerical responses and units | Minimal numerical errors and unit conversions | Incorrect application of principles to solve the problem | Incorrect principle used to solve the problem leading to wrong calculation. | |

Application / AnalysisAbility to make judgements and draw appropriate conclusions based on the analysis of data, while recognizing limitations |
Uses data analysis as the basis for drawing insightful, carefully-qualified conclusions | Uses data analysis to make conclusions, some details lacking in response. | Uses data analysis in a superficial manner, drawing obvious conclusions | Misuses or misinterprets the data, drawing incorrect conclusions |

*The N/A category is to be used in a situation when ONE of the rubric criteria is not applicable to the chosen assessment. For example, if **Application/Analysis** was not part of the original assessment, then you select N/A for that row. Point totals will be adjusted accordingly when the final data is aggregated. Faculty are strongly encouraged to align assessments to the rubric. If you feel the need to select N/A for multiple criteria, then the assessment measure should be adjusted or replaced by a more appropriate one. If you need help with this process, please contact the Assessment Team: awg@ccac.edu .

01) Selected response exams

02) Constructed response exams

03) Pre- and post-tests

05) Short written report

06) Medium written report

07) Long written report

09) Lab report

12) Oral presentations

15) Case study

**Lab Reports**

Create a standard curve and determine the concentration of the unknown

Determine the quantity of a chemical or biological material, show results in graphical form and summarize

Summarize findings of experiment using relevant data

Use graphical, symbolic, and numerical methods to analyze, organize, and interpret natural phenomenon

**Written Report**

Engage in quantitative writing to perform an assessment on a real-world topic

Attempt to replicate results from an experiment and compares findings, determining if there is a statistical significance between the two

Discriminate between association and causation, and identify the types of evidence used to establish causation in a short written report

Conduct a simple statistical analysis to answer their questions and submit short research reports

**Case Study**

Evaluate data on a patient and determines relevant doses of medication to treat the condition

Collect and evaluate blood pressure during rest and exercise, comparing the averages and explaining the results

Troubleshoot a problem from the automotive database, evaluating the information and determining the proper response

Identify issues with an example dataset, for instance: absence of sufficient information or in the face of inconsistent evidence and explain how it could be improved

Analyze information presented in a case study, identifying potential courses of action and barriers to success

**Student Products**

Use spreadsheets to evaluate data and summarize the evidence in an Infographic

Explore an unfamiliar topic using data to support findings and share using social media

Present accurate calculations and symbolic operations, and explain how such calculations and operations are used in either his or her specific field of study or in interpreting social and economic trends

**Oral Presentations**

Present data collected in an online format, sharing the ‘Take home message’ from the information

Communicate findings on a topic of interest utilizing real-world data

**Exams**

Answer short answer questions requiring calculation and explanation of findings