Difference between revisions of "User:Boris/Cargo Cult Course Component"

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<div class="note">
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<span style="font-size:125%">Showcase</span>
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;Course goals:
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: Be able to identify and correct "Cargo Cult Science", in Data Science and elsewhere.
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;Learning outcomes:
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* Search for and identify examples;
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* Analyze;
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* Review;
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* Propose remedies.
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;Assessment highlight:
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: From identifying individual problems of Cargo Cult behaviour, '''jointly''' build a typology.
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;Evaluation highlight:
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: Self-assess a student's formal review of en example and the proposed solution; refer to grading rubrics and to peer-authored reviews.
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;Anticipated challenge:
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: What to do if students don't "get it" and fail to find an example?
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===Class session 1===
 
===Class session 1===
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* Introduce the concept
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* Discuss, and produce mind-map
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* Present and discuss two examples
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* Discuss and Update mind-map
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* TPS: how to find examples
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* Report back.
  
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{{Vspace}}
  
 
===Between classes===
 
===Between classes===
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* Find and post two examples of Cargo Cult-type problems in published (research) activities
  
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{{Vspace}}
  
 
===Class session 2===
 
===Class session 2===
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* Jointly analyze two examples
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* Individually analyze one example each
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* Collect identified issues
 +
* Summarize into a typology of problems
  
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{{Vspace}}
  
 
===Between classes===
 
===Between classes===
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*Review three examples
  
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{{Vspace}}
  
 
===Class session 3===
 
===Class session 3===
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* Review two reviews
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* Individually review one review each
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* Report back: problems?
  
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{{Vspace}}
  
 
===After classes===
 
===After classes===
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* Formally review one example
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* Also propose improvements
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* Self-assess from rubrics, and the other previously submitted reviews
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* Grades are given on the self-assessed review
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{{Vspace}}
  
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==Course framework==
  
 
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===Week 1===
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;Outcomes
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*Understand the problem as evidence by being able to find examples.
  
==Contents==
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===Week 2===
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;Outcomes
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*Abstarct the issues and organize the abstractions.
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===Week 3===
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;Outcomes
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*Apply the abstractions in review and propose remedies.
  
 
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Latest revision as of 19:11, 25 May 2017

A "Cargo Cult" Course component


This course component will teach students to identify and correct "Cargo Cult Science"[1], in Data Science and elsewhere.


 


 

Showcase

Course goals
Be able to identify and correct "Cargo Cult Science", in Data Science and elsewhere.
Learning outcomes
  • Search for and identify examples;
  • Analyze;
  • Review;
  • Propose remedies.
Assessment highlight
From identifying individual problems of Cargo Cult behaviour, jointly build a typology.
Evaluation highlight
Self-assess a student's formal review of en example and the proposed solution; refer to grading rubrics and to peer-authored reviews.
Anticipated challenge
What to do if students don't "get it" and fail to find an example?


 

Components

Outcome
Be able to identify and correct "Cargo Cult Science", in Data Science and elsewhere.


Formative Assessment
Review examples and identify types of Cargo Cult behaviour.


Summative Assesment
Review an example, analyze the problems and propose corrections.


Learning Activities
  • Listen to an introduction
  • Discuss examples
  • Find your own example
  • Discuss, and attempt a typology of problems
  • Formally review an example
  • Evaluate reviews
  • Propose improvements


 

In-class / Out-of class Activities

Class session 1

  • Introduce the concept
  • Discuss, and produce mind-map
  • Present and discuss two examples
  • Discuss and Update mind-map
  • TPS: how to find examples
  • Report back.


 

Between classes

  • Find and post two examples of Cargo Cult-type problems in published (research) activities


 

Class session 2

  • Jointly analyze two examples
  • Individually analyze one example each
  • Collect identified issues
  • Summarize into a typology of problems


 

Between classes

  • Review three examples


 

Class session 3

  • Review two reviews
  • Individually review one review each
  • Report back: problems?


 

After classes

  • Formally review one example
  • Also propose improvements
  • Self-assess from rubrics, and the other previously submitted reviews
  • Grades are given on the self-assessed review


 

Course framework

 

Week 1

Outcomes
  • Understand the problem as evidence by being able to find examples.


 

Week 2

Outcomes
  • Abstarct the issues and organize the abstractions.


 

Week 3

Outcomes
  • Apply the abstractions in review and propose remedies.


 

Notes