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Science & Engineering Practices

1

Asking Questions

S&EP 1.1

S&EP 1.2

S&EP 1.3

S&EP 1.4

S&EP 1.5

S&EP 1.6

S&EP 1.7

S&EP 1.8

Require Empirical Evidence

Arise from Observation of Phenomena

Clarify Premises of an Argument

Determine Relationships Between Variables

Clarify or Refine a Model

Challenge the Premise of an Argument

Are Reasonable to Investigate

Define a Problem that Can Be Solved through Design with Constraints

 

 

 

 

 

 

 

 

 

 

 

2

Developing and Using Models

S&EP 2.1

S&EP 2.2

S&EP2.3

S&EP 2.4

S&EP 2.5

S&EP 2.6

S&EP 2.7

 

Evaluate limitations

modify a model to match what happens if a variable is changed

Use/develop a model with less predictable factors

Revise a model to show the relationship between variables

Use/develop a model to predict phenomena

Develop a model to describe unobservable phenomena

Use/develop a model to generate data to test ideas about phenomena

 

 

 

 

 

 

 

 

 

 

 

 

3

Planning and Carrying Out Investigations

S&EP 3.1

S&EP 3.2

S&EP 3.3

S&EP 3.4

S&EP 3.5

 

 

 

Planning an Investigation

Conduct an Investigation to Collect Data

Evaluate the Accuracy of Data Collecting Methods

Collect Data to Serve as Evidence to Answer the Question

Collect data about the performance of a solution

 

 

 

 

 

 

 

 

 

 

 

4

Analyzing and Interpreting Data

S&EP 4.1

S&EP 4.2

S&EP 4.3

S&EP 4.4

S&EP 4.5

S&EP 4.6

S&EP 4.7

S&EP 4.8

Construct graphs to identify linear and nonlinear relationships

Use graphical displays to identify temporal and spatial relationships

Distinguish between causal and correlational relationships in data

Analyze and interpret data to provide evidence for phenomena

Apply math and statistics concepts to analyze data

Consider limitations of data analysis and seek to improve accuracy with better methods

Analyze and interpret data to determine similarities and differences in findings

Analyze data to define an optimal operational range for a proposed solution

 

 

 

 

 

 

 

 

 

 

 

5

Using Math and Computational Thinking

S&EP 5.1

S&EP 5.2

S&EP 5.3

S&EP 5.4

S&EP 5.5

S&EP 5.6

 

 

Decide when to use qualitative vs. qualitative data

Use digital tools to analyze large sets of data

Use mathematical representations to support conclusions

Create algorithms to solve a problem

Apply math concepts to science and engineering questions

Use digital tools and math concepts to test

 

 

 

 

 

 

 

 

 

 

 

 

 

6

Constructing Explanations & Designing Solutions

S&EP 6.1

S&EP 6.2

S&EP 6.3

S&EP 6.4

S&EP 6.5

S&EP 6.6

S&EP 6.7

S&EP 6.8

Construct an explanation that includes qual & quant relationships between variables

Construct an explanation using models

Construct an explanation based on valid and reliable evidence

Apply scientific evidence to revise an explanation for real-world phenomena

Apply scientific reasoning to show why the evidence is adequate for the conclusion

Apply scientific ideas to test the design of a model solution

Undertake a design project to construct a solution that meets certain criteria and constraints

Optimize performance of a design solution through modification and re-testing

 

 

 

 

 

 

 

 

 

 

 

7

Engaging in Argument from Evidence

S&EP 7.1

S&EP 7.2

S&EP 7.3

S&EP 7.4

S&EP 7.5

 

 

 

Compare and critique two arguments on the same topic

Respectfully provide and receive critiques about one's explanations citing relevant evidence

Create an oral and written argument supported by evidence to qualify an explanation

Create an oral and written argument that evaluates advertised performance of a claim

Evaluate competing design solutions based on agree-upon design criteria

 

 

 

 

 

 

 

 

 

 

 

 

 

 

8

Obtaining, Evaluating, and Communicating Scientific Information

S&EP 8.1

S&EP 8.2

S&EP 8.3

S&EP 8.4

S&EP 8.5

 

 

 

Critically read scientific texts to determine central ideas

Construct conclusions using qualitative, quantitative, and technical information

Assess credibility, accuracy, and bias of sources and degree they are supported by evidence

Evaluate data in scientific texts in light of competing information or accounts

Communicate scientific info in writing and in speech