Use these tools to evaluate student learning outcomes and module effectiveness
In collaboration with the Inter-University Consortium for Political and Social Research (ICPSR), SSDAN and partners are working together to understand how quantitiative literacy improves the quality of social science classrooms and impacts student learning. Using the modules on DataCounts!, instructors should look for the following student learning outcomes. Using these measures, SSDAN hopes to determine module effectiveness, and make improvements to our materials in the future.
The SSDAN team will continue to update this page with more assessment materials, so please check back often. In the meantime, please contact us at email@example.com with suggestions, comments or feedback concerning the use of modules and DataCounts! materials in the classroom.
Quantitative Literacy Learning Outcomes
Calculation-Ability to perform mathematical operations
Interpretation-Ability to explain information presented in a mathematical form (e.g., tables, equations, graphs, or diagrams)
Representation-Ability to convert relevant information from one mathematical form to another (e.g., tables, equations, graphs or diagrams)
Analysis-Ability to make judgments based on quantitative analysis
Method selection-Ability to choose the mathematical operations required to answer a research question
Estimation/Reasonableness Checks-Ability to recognize the limits of a method and to form reasonable predictions of unknown quantities
Communication-Ability to use quantitative information to support a conclusion
Identify/Generate Data-Ability to identify or generate appropriate information to answer a question
Research design-Understand the links between theory and data
Confidence-Level of comfort in performing and interpreting a method of quantitative analysis
Content learning outcomes-varies by module/course