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iRubric: Decision Tree ubric rubric

iRubric: Decision Tree ubric rubric

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Decision Tree ubric 
This rubric is meant to assess decision trees regarding audience characteristics and impact on writing.
Rubric Code: HX748A6
Ready to use
Public Rubric
Subject: English  
Type: Writing  
Grade Levels: Undergraduate

Powered by iRubric Decision Tree Rubric
  Distinguished

4 pts

Proficient

3 pts

Intermediate

2 pts

Novice

1 pts

Question & Possible Solutions

Distinguished

Clearly written question addressing how the audience characteristics' may affect writing topic/message. Corresponding answers/solutions are clearly defined.
Proficient

Clearly written question addressing how the audience characteristics' may affect writing topic/message. Most of the corresponding answers/solutions are clearly defined.
Intermediate

A question addressing how the audience characteristics' may affect writing topic/message. Few corresponding answers/solutions are defined.
Novice

A question addressing how the audience characteristics' may affect writing topic/message. Corresponding answers/solutions are not clearly defined.
Analysis

Distinguished

The decisions are easily mapped. Possible solutions are easy to understand and connections are thoroughly defined.
Proficient

The decisions are easily mapped. Possible solutions are easy to understand and connections are defined.
Intermediate

The decisions are easily mapped. Possible solutions are somewhat difficult to understand and connections are not clearly defined.
Novice

Decisions follow a sequence, but at times, are difficult to follow. Possible solutions are difficult to understand and connections are not defined.
Summary

Distinguished

Summarizes the decision tree and communicates patterns to support solutions/answers.
Proficient

Summarizes the decision tree and communicates how the decision tree helps determine solutions/answers.
Intermediate

Summarizes the decision tree and attempts to communicate how the decision tree helps determine solutions/answers.
Novice

Summarizes the decision tree but does not communicate how the decision tree helps determine solutions/ answers or patterns to support solutions/answers.




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