MS-ETS1-3 - Performance Expectation
Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success.
Middle School · Next Generation Science Standards · NGSS Lead States 2013
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
datatestssimilaritiesdifferencesdesign solutionscharacteristicscriteriasuccess
Skills
- analyze (data from tests of design solutions) #dok2
- compare (similarities and differences among design solutions) #dok2
- identify (best characteristics of each design solution) #dok2
- synthesize (characteristics to create a new solution) #dok3
Learning Targets
- I can analyze data from tests to evaluate different design solutions. #dok2
- I can compare similarities and differences among several design solutions. #dok2
- I can identify the best characteristics of each design solution. #dok2
- I can synthesize the best characteristics into a new solution that better meets the criteria for success. #dok3
Big Ideas
- Optimal design solutions are developed by analyzing and combining the best features from multiple options.
- Data from testing design solutions provides evidence to inform improvements in engineering.
Essential Questions
- How can data from tests help us improve a design solution?
- What makes one design solution more effective than another?
- How can we determine which characteristics are best to combine from different design solutions?
- Why is it important to systematically compare similarities and differences among solutions?
- How do criteria for success guide the selection and combination of design features?