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iRubric: Developing and Using Models rubric

iRubric: Developing and Using Models rubric

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Developing and Using Models 
Modeling in 6–8 builds on K–5 experiences and progresses to developing, using, and revising models to describe, test, and predict more abstract phenomena and design systems.
Rubric Code: UXA6WXX
Ready to use
Public Rubric
Subject: Science  
Type: Assessment  
Grade Levels: 6-8

Powered by iRubric Using and Developing Models G 6-8
  Poor

1 pts

Fair

2 pts

Good

3 pts

Excellent

4 pts

Distinguishing Models and Objects

Poor

Shows an understanding of limitations to models or shows an understanding of the difference between a model and its real life phenomena the model represents.
Fair

Distinguish between a model and the actual object/process the model represents.
Needs prompting to identify limitations of a model.
Good

Distinguish between a model and the actual object, process, and/or
events the model represents. Identify and Evaluate limitations of a model for a proposed
object or tool.
Excellent

Distinguish between a model and the actual object, process, and/or
events the model represents. Identify and Evaluate limitations of a model for a proposed
object or tool.
Compare models to identify common features and differences.
Models in Relation to Science

Poor

Demonstrates ability to recognize a model.
Fair

Needs guidance in
developing a model and revising a model based on variables being changed.
Good

Develop and/or use a model to predict and/or
describe phenomena.
Excellent

Develop and/or revise a model, based on scientific evidence to show the relationships among variables, including those that are not observable but predict observable phenomena.
Making Models

Poor

Demonstrates ability to revise or create a model.
Fair

Demonstrates ability to develop a model but the model cannot generate data or the student is unsure how to obtain data from the model.
Good

Develop or use a model to generate data to test ideas about phenomena in natural or designed systems.
Excellent

Develop and Use a model to generate data to test ideas about phenomena in natural or designed systems, including those representing inputs and
outputs, and those at non-observable scales.




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