But wait a minute.
How come my mate Joe is ahead of the game? In fact, he seems to have the bookies running for cover. He's been banned by most! I guess you could call him a professional gambler.
But is there a difference between how an expert and novice solve problems? While it is obvious experts know more than novices, until recently the lay person's view of the expert might presume their skills were due to a superior mental capacity rather than a vast body of specialist knowledge.
However, there has been a shift in emphasis with ground-breaking research regarding chess skills. The chess analogy is interesting because not only does it investigate problem-solving strategies but it has the focus of the adversary opponent.
De Groot (1946/65) conducted a series of chess studies which conflicted with the assumption that skilled problem solvers must have superior information processing skills. He asked five grand masters & five skilled chess players to think aloud as they studied a chessboard and choose a move. If grand masters used such superior information processing they would be expected to make broader searches for their next move. Interestingly, evidence illustrated there was no qualitative difference between the expert and novice. The difference between the two groups was unremarkable - the grand masters simply made the better moves. Players were shown chessboards with pieces arranged from actual games. The boards were presented to players for a short time and then removed. They were asked to construct the board positions from memory. The grand masters constructed the board almost without error while the novice faltered (91% - 41%). Skill level was linked to the amount of information remembered about the chessboard positions. Further research from Chase and Simon (1973) suggest experts not only posses more knowledge but it is organized in more meaningful and readily accessible ways.
It appears experts use their knowledge to generate good problem representations which support working forward strategies while novices rely on trial and error.
It is often said 'practice makes perfect'. But what researchers noticed many years ago that performance improves with practice in a very systematic and predictable way. The 'power law of practice' has been known for a long time. Practice seems to be a factor in the development of skills over a range of activities. Performance improves with practice because individual task components are executed more efficiently; sequences of task components are executed more efficiently & qualitative changes occur in representations of task structure.
Performance improves with practice because the time to recovery memory is reduced and importantly sequences of units or chunks. In addition, performance improves because the task is restructured.
But how much practice is needed to achieve excellence? Ericsson et al. (1993) have given ten years as a ballpark figure for attaining high levels of performance in a variety of areas (chess, mathematics, violin playing). Ericsson (1991) suggests that it takes at least ten years to reach the international level of performance in sport, the arts and sciences. Simon and Chase (1973) estimated it took 3,000 hours practice to become an expert and around 30,000 hours to become a chess master. Many of those who achieve excellence start at a very young age simply because it takes such a long time to acquire the necessary knowledge.
However, it is possible to train participants to improve on their best performance. Ericsson and Harris (1990) trained an individual who was not a chess player over a period of 50 hours to recognise chess positions almost as accurately as some chess masters. Although Ericsson and Polson (1988) found, practice itself is not a guarantee of superior performance. In their study, the waiter most skilled in remembering orders used more effective encoding strategies compared to equally experienced counterparts. The critical point is not how much practice individuals have, but what they actually do while they are practising the skill. (This point will be explored in our next article.)