# MS-ETS1-3 Engineering Design

MS-ETS1-3   Engineering Design

Students who demonstrate understanding can:

MS-ETS1-3. 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.
The performance expectation above was developed using the following elements from the NRC document A Framework for K-12 Science Education:

## Science and Engineering Practices

### Analyzing and Interpreting Data

Analyzing data in 6–8 builds on K–5 experiences and progresses to extending quantitative analysis to investigations, distinguishing between correlation and causation, and basic statistical techniques of data and error analysis.

## Disciplinary Core Ideas

### ETS1.B: Developing Possible Solutions

• There are systematic processes for evaluating solutions with respect to how well they meet the criteria and constraints of a problem.
• Sometimes parts of different solutions can be combined to create a solution that is better than any of its predecessors.

### ETS1.C: Optimizing the Design Solution

• Although one design may not perform the best across all tests, identifying the characteristics of the design that performed the best in each test can provide useful information for the redesign process—that is, some of those characteristics may be incorporated into the new design.

## Crosscutting Concepts

Connections to MS-ETS1.B: Developing Possible Solutions Problems include:

Physical Science: MS-PS1-6, MS-PS3-3, Life Science: MS-LS2-5

Connections to MS-ETS1.C: Optimizing the Design Solution include:

Physical Science: MS-PS1-6

Common Core State Standards Connections:

MS-ETS1-3   Engineering Design

Students who demonstrate understanding can:

MS-ETS1-3. 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.
The performance expectation above was developed using the following elements from the NRC document A Framework for K-12 Science Education:

## Science and Engineering Practices

### Analyzing and Interpreting Data

Analyzing data in 6–8 builds on K–5 experiences and progresses to extending quantitative analysis to investigations, distinguishing between correlation and causation, and basic statistical techniques of data and error analysis.

## Disciplinary Core Ideas

### ETS1.B: Developing Possible Solutions

• There are systematic processes for evaluating solutions with respect to how well they meet the criteria and constraints of a problem.
• Sometimes parts of different solutions can be combined to create a solution that is better than any of its predecessors.

### ETS1.C: Optimizing the Design Solution

• Although one design may not perform the best across all tests, identifying the characteristics of the design that performed the best in each test can provide useful information for the redesign process—that is, some of those characteristics may be incorporated into the new design.

## Crosscutting Concepts

Connections to MS-ETS1.B: Developing Possible Solutions Problems include:

Physical Science: MS-PS1-6, MS-PS3-3, Life Science: MS-LS2-5

Connections to MS-ETS1.C: Optimizing the Design Solution include:

Physical Science: MS-PS1-6

Common Core State Standards Connections:

MS-ETS1-3   Engineering Design

Students who demonstrate understanding can:

MS-ETS1-3. 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.
The performance expectation above was developed using the following elements from the NRC document A Framework for K-12 Science Education:

## Science and Engineering Practices

### Analyzing and Interpreting Data

Analyzing data in 6–8 builds on K–5 experiences and progresses to extending quantitative analysis to investigations, distinguishing between correlation and causation, and basic statistical techniques of data and error analysis.

## Disciplinary Core Ideas

### ETS1.B: Developing Possible Solutions

• There are systematic processes for evaluating solutions with respect to how well they meet the criteria and constraints of a problem.
• Sometimes parts of different solutions can be combined to create a solution that is better than any of its predecessors.

### ETS1.C: Optimizing the Design Solution

• Although one design may not perform the best across all tests, identifying the characteristics of the design that performed the best in each test can provide useful information for the redesign process—that is, some of those characteristics may be incorporated into the new design.

## Crosscutting Concepts

Connections to MS-ETS1.B: Developing Possible Solutions Problems include:

Physical Science: MS-PS1-6, MS-PS3-3, Life Science: MS-LS2-5

Connections to MS-ETS1.C: Optimizing the Design Solution include:

Physical Science: MS-PS1-6