User:Boris/Cargo Cult Course Component
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A "Cargo Cult" Course component
This course component will teach students to identify and correct "Cargo Cult Science"[1], in Data Science and elsewhere.
Contents
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
