Give an example of using an algorithm to solve a real-world problem.
Following a recipe step-by-step to bake a cake.
Give an example of using a heuristic to solve a real-world problem.
Trying different routes to work to find the fastest one.
How can understanding mental set help in overcoming challenges?
By recognizing when you're stuck using old methods and consciously trying new approaches.
How is deductive reasoning used in creating mind maps?
Starting with a central idea and branching out into specific details.
How does Sherlock Holmes use inductive reasoning?
By gathering specific clues and observations to form a general conclusion about a crime.
How can divergent thinking be applied in brainstorming sessions?
By encouraging participants to generate as many different ideas as possible without focusing on a single solution.
How is trial and error used in product development?
Trying different designs or features until one meets the desired criteria.
How might intuition be used by doctors in diagnosing patients?
A doctor might have a 'gut feeling' about a diagnosis based on past experiences, even before all the test results are in.
Give an example of insight in scientific discovery.
Wolfgang Kohler's chimpanzees suddenly realizing they could use tools to reach bananas.
How can a venturesome personality contribute to creative problem-solving?
Being willing to take risks and try new things can lead to innovative solutions.
Explain the process-oriented nature of algorithms.
Algorithms focus on the method rather than the speed of finding a solution.
Explain the result-oriented nature of heuristics.
Heuristics focus on finding a solution quickly, even if it's not perfect.
When is it best to use an algorithm?
Use when accuracy is crucial and you have time to follow all steps.
When is it best to use a heuristic?
Use when you need a quick solution and don't have time for a detailed approach.
Explain how a mental set can hinder problem-solving.
It can cause you to apply old methods to new situations where they are not effective.
How does fixation affect problem-solving?
It limits your ability to see alternative solutions or approaches to the problem.
What is the role of expertise in creativity?
The more knowledge you have, the more ideas you can generate.
Explain the threshold theory in relation to intelligence and creativity.
A certain level of intelligence is necessary for creative work, but it's not enough on its own.
Describe the role of intrinsic motivation in creativity.
Being driven by your own interests and satisfaction fosters creativity.
How does a creative environment support creativity?
A supportive environment fosters creativity by encouraging new ideas and risk-taking.
Compare algorithms and heuristics.
Algorithms guarantee a solution but are slower; heuristics are faster but prone to errors.
Compare mental set and fixation.
Mental set is about using old methods, while fixation is about being stuck in one viewpoint.
Compare inductive and deductive reasoning.
Inductive reasoning goes from specific to general; deductive reasoning goes from general to specific.
Compare convergent and divergent thinking.
Convergent thinking focuses on one best solution; divergent thinking explores multiple solutions.
Contrast the focus of algorithms and heuristics in problem-solving.
Algorithms are process-oriented, focusing on the method, while heuristics are result-oriented, focusing on the solution.
Compare the reliability of intuition and logical reasoning.
Intuition is based on learned associations and can be quick but unreliable, while logical reasoning is structured and more reliable.
Contrast the use of algorithms and trial and error in problem-solving.
Algorithms follow a defined set of steps to guarantee a solution, while trial and error involves trying different methods until one works, without a specific plan.
Compare the cognitive effort required for algorithms and heuristics.
Algorithms require more cognitive effort as they involve following a detailed procedure, while heuristics require less effort as they rely on mental shortcuts.
Compare the outcomes of convergent and divergent thinking in a team project.
Convergent thinking leads to a focused, single solution, while divergent thinking generates a variety of ideas, potentially leading to more innovative outcomes.
Contrast the role of expertise in convergent and divergent thinking.
Expertise can enhance convergent thinking by providing a deeper understanding of a specific solution, while it can broaden divergent thinking by offering more diverse perspectives.
