Expertise in nursing practice : caring, clinical judgment - Springer ...
Expertise in nursing practice : caring, clinical judgment - Springer ...
Expertise in nursing practice : caring, clinical judgment - Springer ...
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Chapter 1 The Relationship of Theory and Practice <strong>in</strong> the Acquisition of Skill 7<br />
might turn out that skill acquisitionmoves <strong>in</strong> just theopposite direction—<br />
from abstract pr<strong>in</strong>ciples to particular cases.<br />
We previously mentioned the belief—all too prevalent <strong>in</strong> our highly<br />
rationalistic, scientific Western culture—that the role ofexperience is<br />
merely to ref<strong>in</strong>e theory. We reject the view that, presumably unconsciously,<br />
subtle theory produces skilledperformance notbecause wecan<br />
prove that it is wrong but, <strong>in</strong> part, because no plausible arguments have<br />
been offered (beyond the assertion that noother explanation exists) that<br />
it is right. As we shall see later, this assertion isbe<strong>in</strong>g called <strong>in</strong>to question<br />
asunderstand<strong>in</strong>g slowly emerges about how the bra<strong>in</strong>’s neuronal<br />
activity accompanied by synaptic modifications dur<strong>in</strong>g learn<strong>in</strong>g can produce<br />
improvedperformance based on experience—aprocess that cannot<br />
adequately be expla<strong>in</strong>ed asthe acquisition of theoretical knowledge.<br />
Furthermore, it certa<strong>in</strong>ly doesnotlookreasonable to say that the application<br />
of pr<strong>in</strong>ciples and rules of thumb produce skilled human cop<strong>in</strong>g,<br />
giventhe effortlessness and speed with which skilled drivers,for example,<br />
cope with chang<strong>in</strong>g situations or with which skilled carpenters, say,carry<br />
out their activities. Even highly skilled chess players, cop<strong>in</strong>g with what<br />
appear to be difficult situations requir<strong>in</strong>g plann<strong>in</strong>g, reason<strong>in</strong>g, and careful<br />
assessment of various trade-offs,can play chess at the rateof1second<br />
or less per move and still produce games of very high quality. As well,<br />
they can do this even if they are required simultaneously to do simple<br />
computational tasks that seem to leave little, if any, room for theoretical<br />
th<strong>in</strong>k<strong>in</strong>g about chess.<br />
Add to this the fact that computer scientists have been striv<strong>in</strong>g unsuccessfully<br />
for more than 30 years to produce artificial <strong>in</strong>telligence by<br />
programm<strong>in</strong>g vast numbers of facts, various pr<strong>in</strong>ciples of logical <strong>in</strong>ference,<br />
and rules of thumb <strong>in</strong>to computers. Even though computers can<br />
store far more facts than any human can remember and can apply <strong>in</strong>ferential<br />
rules thousands of times more rapidly and with more accuracy<br />
than can human be<strong>in</strong>gs, programs optimistically called expert systems<br />
consistently fail to perform at the level of human experts <strong>in</strong> areas such<br />
as nurs<strong>in</strong>g, <strong>in</strong> which people learn with experience to make rapid, effective<br />
decisions. Through these <strong>in</strong>tense efforts toward artificial <strong>in</strong>telligence,<br />
the hypothesis that <strong>in</strong>telligence consists of noth<strong>in</strong>g more than<br />
rules and pr<strong>in</strong>ciples has been put to an empirical test and has been found<br />
want<strong>in</strong>g.<br />
Itseems to us that it is more plausible to believe that sufficient experience,<br />
accompaniedbyno theoretical knowledge, could produce skilled<br />
cop<strong>in</strong>g behavior. After all, animals cope skillfully with their environments