Introductory (College) Psychology: Cognition and Intelligence Problem Solving (Algorithms, Heuristics, Insight, Barriers)

Concept Summary

• Problem solving is the process of using algorithms, heuristics, and insight to overcome obstacles and achieve a goal.
• Algorithms are step-by-step procedures for solving a problem, while heuristics are mental shortcuts that help make decisions.
• Insight is the ability to suddenly understand a problem or situation in a new way.
• Barriers to problem solving include cognitive biases, lack of information, and emotional blockages.
• Effective problem solving requires a combination of critical thinking, creativity, and persistence.

Questions

WHAT (definitional)

1. What is an algorithm in problem solving?
2. Answer: An algorithm is a step-by-step procedure for solving a problem.
3. Real-world example: A recipe for baking a cake is an example of an algorithm.

4. Misconception cleared: An algorithm is not just a formula or equation, but a detailed procedure for solving a problem.

5. What is a heuristic in problem solving?

6. Answer: A heuristic is a mental shortcut that helps make decisions or solve problems.
7. Real-world example: Using a "rule of thumb" to estimate the cost of a project is an example of a heuristic.

8. Misconception cleared: A heuristic is not a substitute for critical thinking, but rather a tool to aid decision-making.

9. What is insight in problem solving?

10. Answer: Insight is the ability to suddenly understand a problem or situation in a new way.
11. Real-world example: Having an "aha" moment while working on a puzzle is an example of insight.
12. Misconception cleared: Insight is not just a lucky guess, but rather a result of careful consideration and analysis.

WHY (causal reasoning)

1. Why do algorithms help solve problems?
2. Answer: Algorithms help solve problems by breaking them down into manageable steps and providing a clear procedure for completion.
3. Real-world example: Using a recipe to bake a cake helps ensure that the cake turns out right because it provides a clear procedure for mixing and baking.

4. Misconception cleared: Algorithms are not just for simple problems, but can be used to solve complex problems by breaking them down into smaller steps.

5. Why do heuristics help make decisions?

6. Answer: Heuristics help make decisions by providing mental shortcuts that can quickly evaluate options and make a choice.
7. Real-world example: Using a "rule of thumb" to estimate the cost of a project helps make a decision quickly because it provides a rough estimate.

8. Misconception cleared: Heuristics are not always accurate, but can provide a good starting point for decision-making.

9. Why is insight important in problem solving?

10. Answer: Insight is important in problem solving because it allows individuals to see a problem or situation in a new way, often leading to a creative solution.
11. Real-world example: Having an "aha" moment while working on a puzzle can lead to a creative solution because it allows the individual to see the problem in a new way.
12. Misconception cleared: Insight is not just a lucky guess, but rather a result of careful consideration and analysis.

HOW (process/application)

1. How do algorithms help solve problems?
2. Answer: Algorithms help solve problems by breaking them down into manageable steps and providing a clear procedure for completion.
3. Real-world example: Using a recipe to bake a cake helps ensure that the cake turns out right because it provides a clear procedure for mixing and baking.

4. Misconception cleared: Algorithms can be used to solve complex problems by breaking them down into smaller steps.

5. How do heuristics help make decisions?

6. Answer: Heuristics help make decisions by providing mental shortcuts that can quickly evaluate options and make a choice.
7. Real-world example: Using a "rule of thumb" to estimate the cost of a project helps make a decision quickly because it provides a rough estimate.

8. Misconception cleared: Heuristics are not always accurate, but can provide a good starting point for decision-making.

9. How can insight be developed in problem solving?

10. Answer: Insight can be developed in problem solving by taking breaks, changing perspective, and seeking new information.
11. Real-world example: Taking a break from a puzzle and coming back to it later can help develop insight because it allows the individual to approach the problem with a fresh perspective.
12. Misconception cleared: Insight is not just a lucky guess, but rather a result of careful consideration and analysis.

CAN (possibility/conditions)

1. Can algorithms be used to solve complex problems?
2. Answer: Yes, algorithms can be used to solve complex problems by breaking them down into smaller steps.
3. Real-world example: Using a recipe to bake a cake helps ensure that the cake turns out right because it provides a clear procedure for mixing and baking.

4. Misconception cleared: Algorithms are not just for simple problems, but can be used to solve complex problems by breaking them down into smaller steps.

5. Can heuristics be used to make decisions in high-stakes situations?

6. Answer: No, heuristics should not be used to make decisions in high-stakes situations because they can lead to inaccurate or biased decisions.
7. Real-world example: Using a "rule of thumb" to estimate the cost of a project is not suitable for high-stakes situations because it may not provide an accurate estimate.

8. Misconception cleared: Heuristics are not always accurate, and should be used with caution in decision-making.

9. Can insight be developed through practice and experience?

10. Answer: Yes, insight can be developed through practice and experience by taking breaks, changing perspective, and seeking new information.
11. Real-world example: Taking a break from a puzzle and coming back to it later can help develop insight because it allows the individual to approach the problem with a fresh perspective.
12. Misconception cleared: Insight is not just a lucky guess, but rather a result of careful consideration and analysis.

TRUE/FALSE (misconception testing)

1. Statement: Algorithms are only used for simple problems.
2. Answer: FALSE
3. Real-world example: Using a recipe to bake a cake helps ensure that the cake turns out right because it provides a clear procedure for mixing and baking.

4. Misconception cleared: Algorithms are not just for simple problems, but can be used to solve complex problems by breaking them down into smaller steps.

5. Statement: Heuristics are always accurate.

6. Answer: FALSE
7. Real-world example: Using a "rule of thumb" to estimate the cost of a project may not provide an accurate estimate.

8. Misconception cleared: Heuristics are not always accurate, and should be used with caution in decision-making.

9. Statement: Insight is just a lucky guess.

10. Answer: FALSE
11. Real-world example: Having an "aha" moment while working on a puzzle can lead to a creative solution because it allows the individual to see the problem in a new way.
12. Misconception cleared: Insight is not just a lucky guess, but rather a result of careful consideration and analysis.