Dan Fabulich wrote,
> We AI people have a problem. People say: "You can't make a computer
> 'learn.'" Then we make them learn. They respond to things in their
> environment in an interesting and useful way. And people say: "THAT'S
> not really learning! THIS is learning!" So we make them do that, and
> they say "THAT'S not really learning! THIS is learning!"
That's because there are different levels and types of learning.
Bloom's Taxonomy defines the following levels of learning. Each is
more advanced than the previous:
1. Knowledge: observation and recall of information, knowledge of
dates, events, places, knowledge of major ideas, mastery of subject
matter.
2. Comprehension: understanding information, grasp meaning,
translate knowledge into new context, interpret facts, compare,
contrast, order, group, infer causes, predict consequences.
3. Application: use information, use methods, concepts, theories in
new situations, solve problems using required skills or knowledge.
4. Analysis: seeing patterns, organization of parts, recognition of
hidden meanings, identification of components.
5. Synthesis: use old ideas to create new ones, generalize from
given facts, relate knowledge from several areas, predict, draw
conclusions.
6. Evaluation: compare and discriminate between ideas, assess value
of theories, presentations, make choices based on reasoned argument,
verify value of evidence, recognize subjectivity.
-- Harvey Newstrom <HarveyNewstrom.com>
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