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By 
Dr Madhumita Sen
In the fields of education, 
the Dreyfus model of skill 
acquisition is a model of how 
students acquire skills through 
formal instruction and practicing. 
Brothers Stuart and Hubert 
Dreyfus proposed the model in 
1980 in an influential, 18-page 
report on their research at 
the University of California, 
Berkeley.
The original model proposes that a student 
passes through five distinct stages: 
1. novice, 
2. competence, 
3. proficiency, 
4. expertise, and 
5. mastery.
The original Dreyfus model is based on four 
binary qualities: 
1. Recollection (non-situational or situational) 
2. Recognition (decomposed or holistic) 
3. Decision (analytical or intuitive) 
4. Awareness (monitoring or absorbed)
Normally, the instruction process begins with 
the instructor decomposing the task 
environment into context-free features that 
the beginner can recognize without the 
desired skill. 
The beginner is then given rules for 
determining actions on the basis of these 
features, just like a computer following a 
program.
The student automobile driver learns to 
recognize such domain-independent features 
as speed (indicated by the speedometer) and 
is given rules such as shift to 2nd gear when 
the speedometer needle points to 10. 
But merely following rules will produce poor 
performance in the real world. 
A car stalls if one shifts too soon on a hill or 
when the car is heavily loaded.
The student needs not only the facts but also 
an understanding of the context in which that 
information makes sense.
As the novice gains experience, actually 
coping with real situations, and begins to 
develop an understanding of the relevant 
context, he or she begins to note, or an 
instructor points out, definitive examples of 
the situation or domain. 
After seeing a sufficient number of examples, 
the student learns to recognize these new 
aspects.
Instructional maxims can then refer to these 
new situational aspects, recognized on the 
basis of experience, as well as to the 
objectively defined non-situational features 
recognizable by the novice.
The advanced beginner driver 
uses (situational) engine sounds 
as well as (non-situational) 
speed in deciding when to shift. 
He or she learns the following 
maxim: Shift up when the motor 
sounds like it is racing and down 
when it sounds like it is 
straining. 
Still, at this stage, learning can 
be carried on in a detached, 
analytic frame of mind, as the 
student follows instructions and 
is given examples.
With more experience, the number of 
potentially relevant elements and procedures 
that the learner is able to recognize and 
follow becomes overwhelming. 
At this point, because a sense of what is 
important in any particular situation is 
missing, performance becomes nerve-wracking 
and exhausting, and the student 
might well wonder how anybody ever masters 
the skill.
To cope with this 
overload, people learn, 
through instruction or 
experience, to devise a 
plan that determines 
those elements that are 
important and those 
that can be ignored. 
As students learn to 
restrict themselves to 
only a few possibly 
relevant features, 
understanding and 
decision making 
becomes easier.
Naturally, to avoid mistakes, the competent 
performer seeks rules and reasoning 
procedures to decide which plan or 
perspective to adopt. 
Indeed, in any skill domain, the performer 
encounters a vast number of situations 
differing from each other in subtle ways. 
Students, therefore, must decide for 
themselves in each situation what plan or 
perspective to adopt without being sure that 
it will turn out to be appropriate.
A competent driver, leaving the freeway on an 
off-ramp curve, learns to pay attention to the 
speed of the car, not to whether to shift gears. 
After taking into account speed, surface 
condition, criticality of time, and so forth, the 
competent driver may decide he or she is 
going too fast. 
The driver then has to decide whether to let up 
on the accelerator, remove his or her foot 
altogether or step on the brake, and precisely 
when to perform any of these actions. 
The driver is relieved if he or she gets through 
the curve without mishap and is shaken if he 
or she begins to go into a skid.
If we were disembodied beings, pure minds 
free of our messy emotions, our responses to 
our successes and failures would lack 
seriousness and excitement. 
Like a computer, we would have goals and 
succeed or fail to achieve them. But, as John 
Haugeland once said of chess machines that 
have been programmed to win: they are good 
at attaining their goal, but when it comes to 
winning, they do not give a damn. 
For embodied, emotional beings like us, 
however, success and failure do matter.
So the learner is naturally frightened, elated, 
disappointed, or discouraged by the results 
of his or her choice of perspective. 
And, as the competent student becomes 
more and more emotionally involved in the 
task, it becomes increasingly difficult to draw 
back and adopt the detached maxim-following 
stance of the advanced beginner.
But why let learning be infected with all that 
emotional stress? 
Have we not learned that to make progress, 
we must master our emotions and be as 
detached and objective as possible? 
Would not rational motivation, objective 
detachment, honest evaluation, and hard 
work be the best way to acquire expertise?
Although it might seem that involvement 
could only interfere with detached rule 
testing, and so would inevitably lead to 
irrational decisions and inhibit further skill 
development, in fact, just the opposite seems 
to be the case. 
Patricia Benner has studied student nurses at 
each stage of skill acquisition.
She finds that, unless the 
trainee stays emotionally 
involved and accepts the 
joy of a job well done, as 
well as the remorse of 
mistakes, he or she will 
not develop further. 
Resistance to 
involvement and risk 
leads to stagnation and, 
ultimately, to boredom 
and regression 
(Benner,1984).
In general, if one seeks 
the safety of rules, one 
will not get beyond 
competence. 
On the other hand, 
experiencing deeply felt 
rewards or remorse seems 
to be necessary for the 
performer to learn from 
examples without rules. 
The more the beginner is 
emotionally committed to 
learning the better.
Emotional involvement seems to play an 
essential role in switching over from what one 
might roughly think of as a left-hemisphere 
analytic approach to a right-hemisphere 
holistic one. 
What matters is taking responsibility for one’s 
successful and unsuccessful choices, even 
brooding over them—not just feeling good or 
bad about winning or losing, but replaying 
one’s performance in one’s mind step by step 
or move by move.
As the competent performer becomes more 
and more emotionally involved in a task, it 
becomes increasingly difficult for him or her 
to draw back and adopt the detached, rule-following 
stance of the beginner. 
If the detached stance of the novice and 
advanced beginner is replaced by 
involvement, and the learner accepts the 
anxiety of choice, he or she is set for further 
skill advancement.
Then, the resulting positive 
and negative emotional 
experiences will strengthen 
successful perspectives and 
inhibit unsuccessful ones, 
and the performer’s theory of 
the skill will gradually be 
replaced by situational 
discriminations. 
Proficiency seems to develop 
if, and only if, experience is 
assimilated in this way.
At this stage, the involved, 
experienced performer sees 
goals and salient aspects but not 
always what to do to achieve 
these goals. 
The proficient performer simply 
has not yet had enough 
experience with the outcomes of 
the wide variety of possible 
responses to each of the 
situations he or she can now 
discriminate among to react 
automatically.
Thus, the proficient performer, after 
spontaneously seeing the point and the 
important aspects of the current situation, 
must still decide what to do. 
And to decide, he or she must fall back on 
detached rule and maxim following.
The proficient driver, approaching a curve on 
a rainy day, may feel in the seat of one's 
pants that he is going dangerously fast. 
He must then decide whether to brake or 
merely to reduce the accelerator. 
Valuable time may be lost while making a 
decision, but the proficient driver is more 
likely to negotiate the curve safely than the 
competent driver who spends additional time 
considering the speed, angle and felt forces 
to decide.
The proficient performer sees what needs to 
be done and decides how to do it. 
The expert not only sees what needs to be 
achieved; thanks to his or her vast repertoire 
of situational discriminations, he or she also 
sees immediately how to achieve this goal. 
Thus, the ability to make more subtle and 
refined discriminations is what distinguishes 
the expert from the proficient performer. 
The expert has gained insight!
Among many situations, all seen as similar 
with respect to plan or perspective, the 
expert has learned to distinguish those 
situations requiring one reaction from those 
demanding another.
That is, with enough experience in a variety of 
situations, all seen from the same perspective 
but requiring different tactical decisions, the 
brain of the expert gradually decomposes this 
class of situations into subclasses, each of 
which requires a specific response. 
This allows the immediate intuitive situational 
response that is characteristic of expertise.
The expert driver not only feels in the seat of 
his or her pants when speed is the issue but 
also knows how to perform the appropriate 
action without calculating and comparing 
alternatives. 
On the off-ramp, his or her foot simply lifts off 
the accelerator and applies the appropriate 
pressure to the brake. 
What must be done, simply is done.
That amateur and expert chess players use 
different parts of the brain has been 
confirmed by recent MRI research. 
Magnetic imaging was used to compare focal 
bursts of γ-band activity in amateur and 
professional chess players during matches. 
This activity was most evident in the medial 
temporal lobe in amateur players, which is 
consistent with the interpretation that their 
mental acuity is focused on analyzing unusual 
new moves during the game.
In contrast, highly skilled chess grandmasters 
have more γ-bursts in the frontal and parietal 
cortices, indicating that they are retrieving 
chunks from expert memory by recruiting 
circuits outside the medial temporal lobe. 
Amidzic, O., Riehle, H. J., Fehr, T., Wienbruch, C., & 
Elbert, T. (2001, August 9). Pattern of focal γ- 
bursts in chess players. Nature, 412, 603.
A beginner calculates using rules and facts 
just like a heuristically programmed 
computer, but that with talent and a great 
deal of involved experience, the beginner 
develops into an expert who intuitively sees 
what to do without recourse to rules. 
Normally an expert does not calculate. 
He or she does not solve problems. He or she 
does not even think. 
He or she just does what normally works and, 
of course, it normally works!
History of the Learning Pyramid 
Edgar Dale, an expert in audiovisual 
education, created a model in his 1946 book 
Audio-Visual Methods in Teaching that he 
named the Cone of Experience to discuss 
various modalities/channels of imparting 
information. 
Dale did not value one mode over another, 
but argued for a wide variety of modes 
depending on context.
Michael Eraut summarized the five stages of 
increasing skill as follows: 
1. Novice: "rigid adherence to taught rules or 
plans 
“No exercise of "discretionary judgment“ 
In the novice stage, a person follows rules as 
given, without context, with no sense of 
responsibility beyond following the rules 
exactly.
2. Advanced beginner: limited "situational 
perception“ 
All aspects of work treated separately with 
equal importance. 
Competence develops when the individual 
develops organizing principles to quickly 
access the particular rules that are relevant to 
the specific task at hand.
3. Competent: "coping with crowdedness" 
(multiple activities, accumulation of 
information) 
Some perception of actions in relation to 
goals 
Deliberate planning 
Formulates routines. 
Competence is characterized by 
active decision making in choosing a course 
of action.
4. Proficient: holistic view of situation; 
Prioritizes importance of aspects; 
“Perceives deviations from the normal 
pattern“; 
Employs maxims for guidance, with meanings 
that adapt to the situation at hand. 
Proficiency is shown by individuals who 
develop intuition to guide their decisions and 
devise their own rules to formulate plans.
5. Expert: transcends reliance on rules 
guidelines, and maxims. 
“Intuitive grasp of situations based on deep, 
tacit understanding" 
Has "vision of what is possible" 
Uses "analytical approaches" in new situations 
or in case of problems 
The progression is thus from rigid adherence 
to rules to an intuitive mode of reasoning 
based on tacit knowledge.
Skill Level Components Perspective Decision Commitment 
Novice Context free None Analytic Detached 
Advanced 
beginner 
Context free 
and 
situational 
None Analytic Detached 
Competent Context free 
and 
situational 
Chosen Analytic Detached 
understanding 
and deciding; 
involved outcome 
Proficient Context free 
and 
situational 
Experienced Analytic Involved 
understanding; 
detached 
Expert Context free 
and 
situational 
Experienced Intuitive Involved
Components: This refers to the elements of the situation that the 
learner is able to perceive. These can be context free and 
pertaining to general aspects of the skill or situational, which only 
relate to the specific situation that the learner is meeting. 
Perspective: As the learner begins to be able to recognize almost 
innumerable components, he or she must choose which one to 
focus on. He or she is then taking a perspective. 
Decision: The learner is making a decision on how to act in the 
situation he or she is in. This can be based on analytic reasoning 
or an intuitive decision based on experience and holistic 
discrimination of the particular situation. 
Commitment: This describes the degree to which the learner is 
immersed in the learning situation when it comes to 
understanding, deciding, and the outcome of the situation— 
action pairing.
Example uses of the model 
1. Assessing progress in the development of 
skills. 
2. Helping to define a desired level of 
competence. 
3. Supporting progress in the development of 
skills, by understanding the learning needs 
and styles of learning at different levels of 
skill acquisition. 
4. Helping to determine when a learner is 
ready to teach others.
The model applies to each specific task. 
If a person has never performed that specific 
task before, re-assess their development 
level. 
Watch for transitions in motivation as a guide 
to levels of support to offer. 
When individual motivation is low, the 
coach/leader must be more supportive – 
more guiding and questioning. 
When motivation is high, less support is 
needed.
When individual competency in the specific 
task is low, the teacher should be making the 
decisions on the course of action. 
When individual competency is high, the 
student makes the decisions but may still 
occasionally want to validate these with the 
teacher. 
Expertise is an ongoing process, and the 
student may refer to a teacher even on 
achieving proficiency to teach others.
Mind Over Machine: The Power of Human Intuition and Expertise in 
the Era of the Computer (1986, Free Press, New York). Stuart E. 
Dreyfus; University of California, Berkeley. 
Bulletin of Science, Technology & Society, Vol. 24, No. 3, June 2004, 
177-181 
DOI: 10.1177/0270467604264992 
Bulletin of Science, Technology & Society 24 (3): 188–19. 
doi:10.1177/0270467604265061 
Barry Kort, July 2008 (barrykort/home/cognition-affect-and-learning) 
http://web.media.mit.edu/~bkort/Reilly-Site.pdf 
(bkort@media.mit.edu) August 2005 
http://www.trainingplace.com/source/research/mmresistant.htm

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Levels of Student Skill acquisition in teaching methodology

  • 2. In the fields of education, the Dreyfus model of skill acquisition is a model of how students acquire skills through formal instruction and practicing. Brothers Stuart and Hubert Dreyfus proposed the model in 1980 in an influential, 18-page report on their research at the University of California, Berkeley.
  • 3. The original model proposes that a student passes through five distinct stages: 1. novice, 2. competence, 3. proficiency, 4. expertise, and 5. mastery.
  • 4. The original Dreyfus model is based on four binary qualities: 1. Recollection (non-situational or situational) 2. Recognition (decomposed or holistic) 3. Decision (analytical or intuitive) 4. Awareness (monitoring or absorbed)
  • 5. Normally, the instruction process begins with the instructor decomposing the task environment into context-free features that the beginner can recognize without the desired skill. The beginner is then given rules for determining actions on the basis of these features, just like a computer following a program.
  • 6. The student automobile driver learns to recognize such domain-independent features as speed (indicated by the speedometer) and is given rules such as shift to 2nd gear when the speedometer needle points to 10. But merely following rules will produce poor performance in the real world. A car stalls if one shifts too soon on a hill or when the car is heavily loaded.
  • 7. The student needs not only the facts but also an understanding of the context in which that information makes sense.
  • 8. As the novice gains experience, actually coping with real situations, and begins to develop an understanding of the relevant context, he or she begins to note, or an instructor points out, definitive examples of the situation or domain. After seeing a sufficient number of examples, the student learns to recognize these new aspects.
  • 9. Instructional maxims can then refer to these new situational aspects, recognized on the basis of experience, as well as to the objectively defined non-situational features recognizable by the novice.
  • 10. The advanced beginner driver uses (situational) engine sounds as well as (non-situational) speed in deciding when to shift. He or she learns the following maxim: Shift up when the motor sounds like it is racing and down when it sounds like it is straining. Still, at this stage, learning can be carried on in a detached, analytic frame of mind, as the student follows instructions and is given examples.
  • 11. With more experience, the number of potentially relevant elements and procedures that the learner is able to recognize and follow becomes overwhelming. At this point, because a sense of what is important in any particular situation is missing, performance becomes nerve-wracking and exhausting, and the student might well wonder how anybody ever masters the skill.
  • 12. To cope with this overload, people learn, through instruction or experience, to devise a plan that determines those elements that are important and those that can be ignored. As students learn to restrict themselves to only a few possibly relevant features, understanding and decision making becomes easier.
  • 13. Naturally, to avoid mistakes, the competent performer seeks rules and reasoning procedures to decide which plan or perspective to adopt. Indeed, in any skill domain, the performer encounters a vast number of situations differing from each other in subtle ways. Students, therefore, must decide for themselves in each situation what plan or perspective to adopt without being sure that it will turn out to be appropriate.
  • 14. A competent driver, leaving the freeway on an off-ramp curve, learns to pay attention to the speed of the car, not to whether to shift gears. After taking into account speed, surface condition, criticality of time, and so forth, the competent driver may decide he or she is going too fast. The driver then has to decide whether to let up on the accelerator, remove his or her foot altogether or step on the brake, and precisely when to perform any of these actions. The driver is relieved if he or she gets through the curve without mishap and is shaken if he or she begins to go into a skid.
  • 15. If we were disembodied beings, pure minds free of our messy emotions, our responses to our successes and failures would lack seriousness and excitement. Like a computer, we would have goals and succeed or fail to achieve them. But, as John Haugeland once said of chess machines that have been programmed to win: they are good at attaining their goal, but when it comes to winning, they do not give a damn. For embodied, emotional beings like us, however, success and failure do matter.
  • 16. So the learner is naturally frightened, elated, disappointed, or discouraged by the results of his or her choice of perspective. And, as the competent student becomes more and more emotionally involved in the task, it becomes increasingly difficult to draw back and adopt the detached maxim-following stance of the advanced beginner.
  • 17. But why let learning be infected with all that emotional stress? Have we not learned that to make progress, we must master our emotions and be as detached and objective as possible? Would not rational motivation, objective detachment, honest evaluation, and hard work be the best way to acquire expertise?
  • 18. Although it might seem that involvement could only interfere with detached rule testing, and so would inevitably lead to irrational decisions and inhibit further skill development, in fact, just the opposite seems to be the case. Patricia Benner has studied student nurses at each stage of skill acquisition.
  • 19. She finds that, unless the trainee stays emotionally involved and accepts the joy of a job well done, as well as the remorse of mistakes, he or she will not develop further. Resistance to involvement and risk leads to stagnation and, ultimately, to boredom and regression (Benner,1984).
  • 20. In general, if one seeks the safety of rules, one will not get beyond competence. On the other hand, experiencing deeply felt rewards or remorse seems to be necessary for the performer to learn from examples without rules. The more the beginner is emotionally committed to learning the better.
  • 21. Emotional involvement seems to play an essential role in switching over from what one might roughly think of as a left-hemisphere analytic approach to a right-hemisphere holistic one. What matters is taking responsibility for one’s successful and unsuccessful choices, even brooding over them—not just feeling good or bad about winning or losing, but replaying one’s performance in one’s mind step by step or move by move.
  • 22.
  • 23. As the competent performer becomes more and more emotionally involved in a task, it becomes increasingly difficult for him or her to draw back and adopt the detached, rule-following stance of the beginner. If the detached stance of the novice and advanced beginner is replaced by involvement, and the learner accepts the anxiety of choice, he or she is set for further skill advancement.
  • 24. Then, the resulting positive and negative emotional experiences will strengthen successful perspectives and inhibit unsuccessful ones, and the performer’s theory of the skill will gradually be replaced by situational discriminations. Proficiency seems to develop if, and only if, experience is assimilated in this way.
  • 25. At this stage, the involved, experienced performer sees goals and salient aspects but not always what to do to achieve these goals. The proficient performer simply has not yet had enough experience with the outcomes of the wide variety of possible responses to each of the situations he or she can now discriminate among to react automatically.
  • 26. Thus, the proficient performer, after spontaneously seeing the point and the important aspects of the current situation, must still decide what to do. And to decide, he or she must fall back on detached rule and maxim following.
  • 27. The proficient driver, approaching a curve on a rainy day, may feel in the seat of one's pants that he is going dangerously fast. He must then decide whether to brake or merely to reduce the accelerator. Valuable time may be lost while making a decision, but the proficient driver is more likely to negotiate the curve safely than the competent driver who spends additional time considering the speed, angle and felt forces to decide.
  • 28. The proficient performer sees what needs to be done and decides how to do it. The expert not only sees what needs to be achieved; thanks to his or her vast repertoire of situational discriminations, he or she also sees immediately how to achieve this goal. Thus, the ability to make more subtle and refined discriminations is what distinguishes the expert from the proficient performer. The expert has gained insight!
  • 29.
  • 30. Among many situations, all seen as similar with respect to plan or perspective, the expert has learned to distinguish those situations requiring one reaction from those demanding another.
  • 31. That is, with enough experience in a variety of situations, all seen from the same perspective but requiring different tactical decisions, the brain of the expert gradually decomposes this class of situations into subclasses, each of which requires a specific response. This allows the immediate intuitive situational response that is characteristic of expertise.
  • 32. The expert driver not only feels in the seat of his or her pants when speed is the issue but also knows how to perform the appropriate action without calculating and comparing alternatives. On the off-ramp, his or her foot simply lifts off the accelerator and applies the appropriate pressure to the brake. What must be done, simply is done.
  • 33. That amateur and expert chess players use different parts of the brain has been confirmed by recent MRI research. Magnetic imaging was used to compare focal bursts of γ-band activity in amateur and professional chess players during matches. This activity was most evident in the medial temporal lobe in amateur players, which is consistent with the interpretation that their mental acuity is focused on analyzing unusual new moves during the game.
  • 34. In contrast, highly skilled chess grandmasters have more γ-bursts in the frontal and parietal cortices, indicating that they are retrieving chunks from expert memory by recruiting circuits outside the medial temporal lobe. Amidzic, O., Riehle, H. J., Fehr, T., Wienbruch, C., & Elbert, T. (2001, August 9). Pattern of focal γ- bursts in chess players. Nature, 412, 603.
  • 35.
  • 36. A beginner calculates using rules and facts just like a heuristically programmed computer, but that with talent and a great deal of involved experience, the beginner develops into an expert who intuitively sees what to do without recourse to rules. Normally an expert does not calculate. He or she does not solve problems. He or she does not even think. He or she just does what normally works and, of course, it normally works!
  • 37. History of the Learning Pyramid Edgar Dale, an expert in audiovisual education, created a model in his 1946 book Audio-Visual Methods in Teaching that he named the Cone of Experience to discuss various modalities/channels of imparting information. Dale did not value one mode over another, but argued for a wide variety of modes depending on context.
  • 38.
  • 39. Michael Eraut summarized the five stages of increasing skill as follows: 1. Novice: "rigid adherence to taught rules or plans “No exercise of "discretionary judgment“ In the novice stage, a person follows rules as given, without context, with no sense of responsibility beyond following the rules exactly.
  • 40.
  • 41. 2. Advanced beginner: limited "situational perception“ All aspects of work treated separately with equal importance. Competence develops when the individual develops organizing principles to quickly access the particular rules that are relevant to the specific task at hand.
  • 42. 3. Competent: "coping with crowdedness" (multiple activities, accumulation of information) Some perception of actions in relation to goals Deliberate planning Formulates routines. Competence is characterized by active decision making in choosing a course of action.
  • 43. 4. Proficient: holistic view of situation; Prioritizes importance of aspects; “Perceives deviations from the normal pattern“; Employs maxims for guidance, with meanings that adapt to the situation at hand. Proficiency is shown by individuals who develop intuition to guide their decisions and devise their own rules to formulate plans.
  • 44. 5. Expert: transcends reliance on rules guidelines, and maxims. “Intuitive grasp of situations based on deep, tacit understanding" Has "vision of what is possible" Uses "analytical approaches" in new situations or in case of problems The progression is thus from rigid adherence to rules to an intuitive mode of reasoning based on tacit knowledge.
  • 45. Skill Level Components Perspective Decision Commitment Novice Context free None Analytic Detached Advanced beginner Context free and situational None Analytic Detached Competent Context free and situational Chosen Analytic Detached understanding and deciding; involved outcome Proficient Context free and situational Experienced Analytic Involved understanding; detached Expert Context free and situational Experienced Intuitive Involved
  • 46. Components: This refers to the elements of the situation that the learner is able to perceive. These can be context free and pertaining to general aspects of the skill or situational, which only relate to the specific situation that the learner is meeting. Perspective: As the learner begins to be able to recognize almost innumerable components, he or she must choose which one to focus on. He or she is then taking a perspective. Decision: The learner is making a decision on how to act in the situation he or she is in. This can be based on analytic reasoning or an intuitive decision based on experience and holistic discrimination of the particular situation. Commitment: This describes the degree to which the learner is immersed in the learning situation when it comes to understanding, deciding, and the outcome of the situation— action pairing.
  • 47.
  • 48. Example uses of the model 1. Assessing progress in the development of skills. 2. Helping to define a desired level of competence. 3. Supporting progress in the development of skills, by understanding the learning needs and styles of learning at different levels of skill acquisition. 4. Helping to determine when a learner is ready to teach others.
  • 49.
  • 50. The model applies to each specific task. If a person has never performed that specific task before, re-assess their development level. Watch for transitions in motivation as a guide to levels of support to offer. When individual motivation is low, the coach/leader must be more supportive – more guiding and questioning. When motivation is high, less support is needed.
  • 51. When individual competency in the specific task is low, the teacher should be making the decisions on the course of action. When individual competency is high, the student makes the decisions but may still occasionally want to validate these with the teacher. Expertise is an ongoing process, and the student may refer to a teacher even on achieving proficiency to teach others.
  • 52. Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the Computer (1986, Free Press, New York). Stuart E. Dreyfus; University of California, Berkeley. Bulletin of Science, Technology & Society, Vol. 24, No. 3, June 2004, 177-181 DOI: 10.1177/0270467604264992 Bulletin of Science, Technology & Society 24 (3): 188–19. doi:10.1177/0270467604265061 Barry Kort, July 2008 (barrykort/home/cognition-affect-and-learning) http://web.media.mit.edu/~bkort/Reilly-Site.pdf (bkort@media.mit.edu) August 2005 http://www.trainingplace.com/source/research/mmresistant.htm