Week 11 - Problem Solving and Expertise Flashcards
What is a problem?
- Situation that blocks an achievement of a goal
-Learned or habitual solutions can’t be relied on
Explain well defined problems
- Clearly defined goals and options for solving
- Way to measure the quality of solutions (easier to study)
- Eg. puzzles
Explain ill defined problem
-Goals , options , quality of solution , hard to define
- Most real life problems
Define Gestalt Approach
- Rejection of trial and error to look at solving problems through INSIGHT (sudden change in representation of problems)
Explain Analogical Transfer
- Shifting problem representation by seeing solution to one problem through analogy with another
- Process of mapping solution from source problem onto target problem
When does analogical transfer succeed?
- When problems are directly compared
- Problem content is similar
- When we notice problems are similar on the kinds of steps needed / structural similarity
Problem Representation : Challenges
- Surface Features : irrelevant but salient aspects of a problem
- Functional Fixedness : tenancy to stay stuck on usual use of problem elements
- Einstellung : tenancy to rely on known solutions , miss better solutions
Features of the Computational Approach
- Problem solving as hill climbing
- Difficulty of backtracking ( move back from goal to allow later achievement)
- Means end analysis look for actions that can remove specific differences between goal and goal state)
- Supported by subgoals (intermediate goals)
Explain general problem solver
- Uses means end analysis
- Problem solver has greater awareness of how to break the problem down into sub-problems
- BUT needs to be given problem knowledge (what methods / how to measure goal distance / how applying method changes states)
Difference between getting smarter and getting better
Smarter = brain training, music training , exercise
Better = Practising a skill ??
Define what it means to expertise
- Acquiring knowledge and skill in a particular domain through extended experience
- Deliberate practice needed [Ericsson + Charness] : constant focus and coaching with feedback
Link between expertise and working memory
- 1 participant studied with a 1hr memory digit task : 3-5x a week
- Initial span of 7 digits , after 200hrs , 80 digits
- Specific strategy showing identifying chunks and retrieval cues to chunks (LTM)
Explain the chunk theory
- Chess players have much more information in LTM and encode larger chunks
Explain the template theory
- Chunks that are experienced together form templates
- Templates are more abstract , specify likely positions of pieces relevant to reference piece
Feature of expert attention
- Expertise can help train attention to diagnostic info
- eg. doctors detecting abnormalities in medical images , fingerprint examiners locating features identifying fingerprints
Features of expert decisions and problem-solving
- Domain specific improvements in reasoning and problem solving
- Experts see different problems as similar
- Experts have learnt schemas to solve problems
Explain how talent is formed
- Fluid intelligence is a predictor of career success
- Differences in innate cognitive ability may enable quicker learning