2.4 Domain-specific vs. general problem solving
One of the most important insights of recent research in cognitive psychology is that
solving demanding problems requires at least some knowledge of the domain in question.
The concept of a problem space through which a General Problem Solver moves by
means of domain-independent search strategies (Newell and Simon, 1972) proved to
be too simple to describe how problem situations are understood and the process of
finding a solution. Efforts to identify a general, domain-independent competence for
steering dynamic systems (operative intelligence) within the framework of complex
problem-solving research were also unsuccessful; performance on such systems can only
partially be transferred to other systems (Funke, 1991). However, research on grade-3
to grade-12 students showed that problem-solving skills clearly improve under well-tuned
training conditions and that a substantial transfer across different problems can
be achieved (Reeff et al. 1989, 1992, 1993; Regenwetter, 1992; Regenwetter and Müller,
1992; Stirner, 1993).
Problem solving is dependent on knowledge of concepts and facts (declarative
knowledge) and knowledge of rules and strategies (procedural knowledge) in a given
subject domain. Although it is obvious from past research that declarative knowledge in
the problem domain can substantially contribute to successful problem-solving strategies,
procedural knowledge is crucial as well. The amount of relevant previous knowledge
available could also account for the relation between intelligence and problem-solving
performance, as shown in the work of Raaheim (1988) and Leutner (1999). People
with no relevant previous knowledge at all are unable to explore the problem situation
or plan a solution in a systematic manner and are forced to rely on trial and error
instead. Those who are already very familiar with the task are able to deal with it as a
matter of routine. General intellectual ability, as measured by reasoning tasks, plays no
role in either of these cases. When problem solvers are moderately familiar with the
task, analytical reasoning strategies can be successfully implemented.
2.5 Analytical problem solving: Definition and levels of proficiency
Despite the appeal of computer-based assessment of problem-solving skills the
operational constraints imposed by contemporary large-scale comparative studies
necessitate focusing on aspects of analytical problem solving that can be measured by
paper-and-pencil tasks. The present framework also refrains from addressing social,
emotional, and creative aspects of problem solving.
Analytical problem solving is the core of problem solving as a goal-directed
cognitive process. It encompasses the use of content-specific and general
knowledge, rules and strategies, and meta-cognition. A person's analytical
problem-solving competency may be indicated by his or her performance
in identifying a problem, searching for relevant information and
integrating it into a coherent problem representation, evaluating the
problem situation with respect to given goals and criteria, devising a
plan — i.e. an ordered sequence of appropriate actions — and monitoring
its execution.
Thus, analytical problem solving as it is defined here is closely related to reasoning
ability and to the analytical subcomponent in Sternberg's triarchic theory of intelligence.
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