Difference between revisions of "Critical Thinking Study Guide"
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Return to [[Critical Thinking]]  | Return to [[Critical Thinking]]  | ||
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| + | Mid-term covers 1st, 2nd, and part of 4th disciplines and associated readings in handbook and reader.    | ||
Note:  On concepts be sure to be able to identify, define, and explain the significance of each concept.  | Note:  On concepts be sure to be able to identify, define, and explain the significance of each concept.  | ||
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1st Discipline: Reflective Voice  | 1st Discipline: Reflective Voice  | ||
Revision as of 15:42, 12 October 2010
Return to Critical Thinking
Mid-term covers 1st, 2nd, and part of 4th disciplines and associated readings in handbook and reader.
Note: On concepts be sure to be able to identify, define, and explain the significance of each concept.
1st Discipline: Reflective Voice
- Five Disciplines of Thought -- know all five, by heart!
 - Terms: Rationales, arguments, explanations, claim, premise, conclusion, reflective/deliberative context. (p. 3)
 - Thinking in Stereo: what is it, what questions are asked at each level.
 - Cognitive Bias: 1 Anchoring, 2 Framing, 3 Fundamental attribution error, 4 Confirmation bias,
 - Thought Experiment for finding reflective ideals: What do you need to count on when you begin a serious discussion with someone? What specific values and expectations should one have? What mutual obligations follow? p. 12 and following.
 - Reflective ideals: sympathetic understanding, seeking knowledge, inviting appraisal.
 
Questions on Readings:
- Haidt: How does basic information about the human brain help us thinking about the nature of thought?
 - Stanovich: Look at specific thinking "puzzles" Stanovich consider, but also try to state his general point.
 - Gopnik: How does Gopnik want us to think about thinking? What's her evidence?
 
2nd Discipline: Reconstruction
- Theory of Rationales - basic defintion of a rationale, distinction between argument and explanation.
 - Distinguishing argument and explanation (skill of identification from exercise set "Distinguishing Argument from Explanation).
 - 3 Criteria for Good Reconstruction.
 - Reconstruction (skill) Might have a short argument to reconstruct. (Not Fall 2010)
 - Distinguishing Deductive and Inductive arguments. (skill) also, give definitions and compare. (Handbook topic: "Logical Structure in Deductive and Inductive Reasoning")
 - How do you show logical structure in deductive arguments? in inductive? in explanation? (Handbook topic: "Deductive Argument Forms" "Inductive Argument Forms", and "Form in Explanations".)
 - Identify and give examples of basic deductive argument forms and formal fallacies.
 - Validity. (esp. relation to truth.) Can a valid argument have a false conclusion? In a valid argument is the conclusion always true?
 - Basic inductive patterns and inductive analogies.
 - Understand discussion of "Why Mars is Red" in "Form in Explanation"
 
Reading:
- Gladwell: Why is it so hard to offer cross cultural explanations of people's drinking behavior?
 
3rd Discipline: Critical Response
- 3 Techniques for assessing rationales. (skill)
 - What is critical response?
 - What is the difference between assessing rationales and giving a critical response?
 - Ad hominem fallacy
 - What factors should you consider in preparing a critical response to someone's rationales?
 
4th Discipline: Recognizing Knowledge
- What does it mean to call some information authoritative in the everyday sense? in the academic sense?
 - What is the "peer review" process and how does it contribute to the recognition of knowledge?
 - What does is mean to define knowledge as "justified, true belief"?
 - What is the difference between "knowledge by discovery" and "knowledge by interpretation"?
 
<<--STOP HERE for MIDTERM -->>
- Specific ways of avoiding deception from quantitative information: (use old textbook chapter and class notes)
 
- 1 What is a measure?
 - 2 Percentages and rates
 - 3 Linear vs. Non-linear relationships
 - 4 Baseline
 - 5 Surveys
 - 6 Probability
- 1 Definition,
 - 2 Gambler's fallacy,
 - 3 Predictive dreams
 - 4 SI jinx
 
 - 7 Causation
- 1 Regression analysis
 - 2 Multiple regression analysis
 
 
5th Discipline: Seeing Complexity
- 1. Simplification as part of knowledge production
 
- 2. Systems, complex systems, chaotic systems (links, nodes, degrees of separation)
 
- 3. Coupling, buffering, feedback loops
 
- 4. degrees of separation
 
- 5. Konigsburg bridge problem
 
- 6. Baltimore syphilis epidemic
 
- 7. What do good managers of complex systems do?
 
- 8. Thin slicing and the return of intuition
 
- 9. Stereotyping