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The Role of Motivation in Complex Problem Solving

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Abstract

Previous research on Complex Problem Solving (CPS) has primarily focused on cognitive factors as outlined below. The current paper discusses the role of motivation during CPS and argues that motivation, emotion, and cognition interact and cannot be studied in an isolated manner. Motivation is the process that determines the energization and direction of behavior (Heckhausen, 1991). Three motivation theories and their relation to CPS are examined: McClelland’s achievement motivation, Maslow’s hierarchy of needs, and Dörner’s needs as outlined in PSI-theory.
OPINION
published: 23 May 2017
doi: 10.3389/fpsyg.2017.00851
Frontiers in Psychology | www.frontiersin.org 1May 2017 | Volume 8 | Article 851
Edited by:
Joachim Funke,
Heidelberg University, Germany
Reviewed by:
Christine Blech,
FernUniversität Hagen, Germany
Ricarda Steinmayr,
Technische Universität Dortmund,
Germany
*Correspondence:
C. Dominik Güss
dguess@unf.edu
Specialty section:
This article was submitted to
Cognitive Science,
a section of the journal
Frontiers in Psychology
Received: 16 March 2017
Accepted: 09 May 2017
Published: 23 May 2017
Citation:
Güss CD, Burger ML and Dörner D
(2017) The Role of Motivation in
Complex Problem Solving.
Front. Psychol. 8:851.
doi: 10.3389/fpsyg.2017.00851
The Role of Motivation in Complex
Problem Solving
C. Dominik Güss 1*, Madison Lee Burger 1and Dietrich Dörner 2
1Department of Psychology, University of North Florida, Jacksonville, FL, United States, 2Trimberg Research Academy,
University of Bamberg, Bamberg, Germany
Keywords: complex problem solving, dynamic decision making, simulation, motivation, PSI-theory, Maslow’s
hierarchy of needs, achievement motivation
THE ROLE OF MOTIVATION IN COMPLEX PROBLEM SOLVING
Previous research on Complex Problem Solving (CPS) has primarily focused on cognitive factors
as outlined below. The current paper discusses the role of motivation during CPS and argues
that motivation, emotion, and cognition interact and cannot be studied in an isolated manner.
Motivation is the process that determines the energization and direction of behavior (Heckhausen,
1991).
Three motivation theories and their relation to CPS are examined: McClelland’s achievement
motivation, Maslow’s hierarchy of needs, and Dörner’s needs as outlined in PSI-theory. We chose
these three theories for several reasons. First, space forces us to be selective. Second, the three
theories are among the most prominent motivational theories. Finally, they are need theories
postulating several motivations and not just one. A thinking-aloud protocol is provided to illustrate
the role of motivational and cognitive dynamics in CPS.
Problems are part of all the domains of human life. The field of CPS investigates problems that
are complex, dynamic, and non-transparent (Dörner, 1996). Complex problems consist of many
interactively interrelated variables. Dynamic ones change and develop further over time, regardless
of whether the involved people take action. And non-transparent problems have many aspects of
the problem situation that are unclear or unknown to the involved people.
CPS researchers focus exactly on such kinds of problems. Under a narrow perspective, CPS
can be defined as thinking that aims to overcome barriers and to reach goals in situations that
are complex, dynamic, and non-transparent (Frensch and Funke, 1995). Indeed, past research has
shown the influential role of task properties (Berry and Broadbent, 1984; Funke, 1985) and of
cognitive factors on CPS strategies and performance, such as intelligence (e.g., Süß, 2001; Stadler
et al., 2015), domain-specific knowledge (e.g., Wenke et al., 2005), cognitive biases and errors (e.g.,
Dörner, 1996; Güss et al., 2015), or self-reflection (e.g., Donovan et al., 2015).
Under a broader perspective, CPS can be defined as the study of cognitive, emotional,
motivational, and social processes when people are confronted with such complex, dynamic and
non-transparent problem situations (Schoppek and Putz-Osterloh, 2003; Dörner and Güss, 2011,
2013; Funke, 2012). The assumption here is that focusing solely on cognitive processes reveals an
incomplete picture or an inaccurate one.
To study CPS, researchers have often used computer-simulated problem scenarios also
called microworlds or virtual environments or strategy games. In these situations, participants
are confronted with a complex problem simulated on the computer from which they gather
information, and identify solutions. These decisions are then implemented into the system and
result in changes to the problem situation.
PREVIOUS RESEARCH ON MOTIVATION AND CPS
The idea to study the interaction of motivation, emotion, and cognition is not new (Simon, 1967).
However, in practice this has been rarely examined in the field of CPS. One study assessed the need
Güss et al. The Role of Motivation in Complex Problem Solving
for cognition (i.e., the tendency to engage in thinking and
reflecting) and showed how high need of cognition was related
to broader information collection and better performance in a
management simulation (Nair and Ramnarayan, 2000).
Vollmeyer and Rheinberg (1999, 2000) explored in two studies
the role of motivational factors in CPS. They assessed mastery
confidence (similar to self-efficacy), incompetence fear, interest,
and challenge as motivational factors. Their results demonstrated
that mastery confidence and incompetence fear were good
predictors for learning and for knowledge acquisition.
CPS ASSESSMENT
Before we describe three theories of motivation and how they
might be related and applicable to CPS, we will briefly describe
the WINFIRE computer simulation (Gerdes et al., 1993; Schaub,
2009) and provide a part of a thinking-aloud protocol of
one participant while working on WINFIRE. WINFIRE is the
simulation of small cities surrounded by forests. Participants take
the role of fire-fighting commanders who try to protect cities and
forests from approaching fires. Participants can give a series of
commands to several fire trucks and helicopters. In WINFIRE
quick decisions and multitasking are required in order to avoid
fires spreading. In one study, participants were also instructed
to think aloud, i.e., to say aloud everything that went through
their minds while working on WINFIRE. These thinking-aloud
protocols, also called verbal protocols, were audiotaped and
transcribed in five countries and compared (see Güss et al., 2010).
The following is a verbatim WINFIRE thinking-aloud
protocol of a US participant (Güss et al., 2010):
Ok, I don’t see any fires yet. I’m trying to figure out how the
helicopters pick up the water from the ponds. I put helicopters on
patrol mode. Not really sure what that does. It doesn’t seem to be
moving. Oh, there it goes, it’s moving... I guess you have to wait
till there’s a fire showing... Ok, fire just started in the middle, so I
have to get some people to extinguish it. Ok, now I have another fire
going here. I’m in trouble here. Ok. Ok, when I click extinguish, it
don’t seem to respond. Guess I’m not clear how to get trucks right to
the fire. Ok, one fire has been extinguished, but a new one started
in the same area. I’m getting more trucks out there trying to figure
out, how to get helicopters to the pond. I still haven’t figured that
out, because they have to pick up the water. Ok, got a pretty good
fire going here, so I’m going to put all the trucks on action, ok, water
thing is making me mad. Ok. I’m not sure how it goes? Ok, the forest
is burning up now—extinguish! Ok, ok, I’m in big trouble here...
PSYCHOLOGICAL THEORIES OF
MOTIVATION AND THEIR APPLICATION TO
CPS
McClelland’s Human Motivation Theory
In his Human Motivation theory, McClelland distinguishes three
needs (power, affiliation, and achievement) and argues that
human motivation is a response to changes in affective states. A
specific situation will cause a change in the affective state through
the non-specific response of the autonomic nervous system.
This response will motivate a person toward a goal to reach a
different affective state (McClelland et al., 1953). An affective state
may either be positive or negative, determining the direction of
motivated behavior as either approach oriented, i.e., to maintain
the state, or avoidance oriented, i.e., to avoid or discontinue the
state (McClelland et al., 1953).
Motivation intensity varies among individuals based on
perception of the stimulus and the adaptive abilities of
the individual. Hence, when a discrepancy exists between
expectation and perception, then a person will be motivated
to eliminate this discrepancy (McClelland et al., 1953). In the
statement from the thinking-aloud protocol we can infer the
participant’s achievement motivation, Guess I’m not clear how to
get trucks right to the fire. Ok, one fire has been extinguished, but a
new one started in the same area.” The participant at first begins
to give up and reduce effort, but then achieves a step toward the
goal. This achievement causes the reevaluation of the discrepancy
between ability and the goal as not too large to overcome.
This realization motivates the participant to continue working
through the scenario. Whereas, the need for achievement seems
to guide CPS, the needs for power and affiliation cannot be
observed in the current thinking-aloud protocol.
Based on the previous discussion we can derive the following
predictions:
Prediction 1: Approach-orientation will lead to greater
engagement in CPS compared to avoidance-orientation.
Prediction 2: Based on an individual’s experience either power,
affiliation, or achievement will become dominant and guide
the strategic approach in CPS.
Maslow’s Hierarchy of Needs
Maslow’s Hierarchy of Needs (Maslow, 1943, 1954) suggests that
everyone has five basic needs that act as motivating forces in a
person’s life. Maslow’s hierarchy takes the form of a pyramid in
which needs lower in the pyramid are primary motivators. They
have to be met before higher needs can become motivating forces.
At the bottom of the pyramid are the most basic needs beginning
with physiological needs, such as hunger, and followed by safety
needs. Then follow the psychological needs of belongingness and
love, and then esteem. Once these four groups of needs have
been met, a person may reach the self-fulfillment stage of self-
actualization at which time a person can be motivated to achieve
ones full potential (Maslow, 1943).
The first four groups of needs are external motivators because
they motivate through both deficiency and fulfillment. In essence,
a person fulfills a need which then releases the next unsatisfied
need to be the dominant motivator (Maslow, 1943, 1954). The
safety need is often understood as seeking shelter, but Maslow
also understands safety also as wanting “a predictable, orderly
world” (Maslow, 1943, p. 377), “an organized world rather than
an unorganized or unstructured one” (Maslow, 1943, p. 377).
Safety refers to the “common preference for familiar rather than
unfamiliar things” (Maslow, 1943, p. 379).
In this sense the safety need becomes active when the person
does not understand what is happening in the microworld, as
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Güss et al. The Role of Motivation in Complex Problem Solving
the following passage of the thinking-aloud protocol illustrates.
I put helicopters on patrol mode. Not really sure what that does. It
doesn’t seem to be moving.” The safety need is demonstrated in the
person’s desire for organization, since unknown and unexpected
events are seen as threats to safety.
The esteem need as a motivator becomes evident through the
statement, Guess I’m not clear how to get trucks right to the
fire.” The participant becomes aware of his inability to control
the situation which affects his self-esteem. The esteem need
is never fulfilled in the described situation and remains the
primary motivator. The following statements show how affected
the participant’s esteem need is by the inability to control the
burning fires. Ok. I’m not sure how it goes? Ok, the forest is
burning up now—extinguish! Ok, ok, I’m in big trouble.”
Prediction 3: A strong safety need will be related to elaborate
and detailed information collection in CPS compared to low
safety need.
Prediction 4: People with high esteem needs will be affected
more by difficulties in CPS and engage more often in behaviors
to protect their esteem compared to people with low esteem
needs.
Dörner’s Theory of Motivation as Part of
PSI-Theory
PSI-theory described the interaction of cognitive, emotional, and
motivational processes (Dörner, 2003; Dörner and Güss, 2011).
Only a small part of the theory is examined here. Briefly, the
theory encompasses five basic human needs: the existential needs
(thirst, hunger, and pain avoidance), the sexuality need, and the
social need for affiliation (group binding), the need for certainty
(predictability), and the need for competence (mastery). If the
environment is unpredictable, the certainty need becomes active.
If we are not able to cope with problems, the competence need
becomes active. The need for competence also becomes active
when any other need becomes activated. With an increase in
needs, the arousal increases.
The first three needs cannot be observed or inferred from the
thinking-aloud protocol provided. Statements like, “I’m trying to
figure out how the helicopters pick up the water from the ponds.”
and “Guess I’m not clear how to get trucks right to the fire,
demonstrate the needs for certainty and competence, i.e., to make
the environment predictable and controllable.
The following statements reflect the participant’s need for
competence, i.e., the inefficacy or incapability of coping with
problems. I’m in trouble here... ok, water thing is making me
mad.” Not being able to extinguish the fires that are approaching
cities and are destroying forests is experienced as anger. The
arousal rises as the resolution level of thinking decreases. So,
the participant does not think about different options in an
elaborate manner. Yet, the participant becomes aware of his
failure. The competence need then causes the participant to
search for possible solutions, “I still haven’t figured that out
because they have to pick up the water...” The need for competence
is satisfied when the problem solver is able to change either the
environment or ones views of the environment.
Prediction 5: A strong certainty need is positively related to a
strong competence need.
Prediction 6: High need for certainty paired with high need
for competence can lead to safeguarding behavior, i.e.,
background monitoring.
Prediction 7: An increase in the competence and uncertainty
needs leads to increased arousal and a lower resolution level
of thinking. CPS becomes one-dimensional and possible long-
term and side-effects are not considered adequately.
Summary and Evaluation
We have briefly discussed three motivation theories and their
relation to CPS referring to one thinking-aloud protocol:
McClelland’s achievement motivation, Maslow’s hierarchy of
needs, and Dörner’s needs as outlined in PSI-theory.
A Comparison of Three Need Theories in the Context of CPS.
McClelland’s
achievement
motivation
Maslow’s
hierarchy of
need
Dörner’s theory
of motivation as
part of
PSI-theory
Scope/ Breadth + ++ ++
Applicability to
CPS
+ + ++
Adaptability of
needs
+
Incorporation of
emotion
++ ++
Individual
differences
++ ++
Evaluation criteria: very small/very low , small/low ,
much/high +, very much/very high ++.
Comparing the scope of the three theories and referring to
the scope and different needs covered in the three theories,
McClelland’s theory describes three needs (power, affiliation,
and achievement), Maslow’s theory describes five groups of
needs (physiological, safety, love and belonging, esteem, self-
actualization), and Dörner’s theory describes five different needs
(existential, sexuality, affiliation, certainty, and competence).
All three theories can be applied to CPS. McClelland’s need for
achievement, Maslow’s needs for esteem and safety, and Dörner’s
needs for certainty and competence could be inferred from the
thinking–aloud passage. The need for affiliation which is a part
of each of the three theories could play an important role when
groups solve complex problems.
The existential needs and the need for affiliation outlined in
PSI-theory can also be found in Maslow’s hierarchy of needs.
These two theories differ in the adaptability of the needs.
However, Maslow’s esteem needs are only activated as the
primary motivator as the physiological needs, belongingness,
and love needs are met. The needs are more fluidly described
as motivators in PSI-theory. One need becomes the dominant
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Güss et al. The Role of Motivation in Complex Problem Solving
motive according to the expectancy–value principle. Expectancy
stands for the estimated likelihood of success. The value of
a motive stands for the strength of the need. According to
McClelland’s theory, the role of three motivations develops
through life experience in a specific culture; and often times,
one of the three becomes the main driving force for a person,
almost like a personality trait. In that sense, there is not much
flexibility.
Motivation and emotion are closely related as became partially
clear in the discussion of McClelland’s theory. Emotions are
discussed in detail in PSI-theory, but space does not allow us to
discuss those in detail here (see Dörner, 2003). Emotions are not
described in detail in Maslow’s Hierarchy of Needs.
Individual differences in motivation and needs are discussed
in two of the three theories. According to McClelland, a person
develops an individual achievement motive by learning one’s
own abilities from past achievements and failures. Based on
different learning histories, different persons will have a different
dominant motivation guiding behavior in a given situation.
Learning history also influences the competence need in PSI-
theory. Additionally PSI-theory assumes individual differences
that are simulated through different individual motivational
parameters in the theory. The certainty need, for example,
becomes active when there is a deviation from a given set point.
Individual differences are related to different set points and how
sensitive the deviations are (e.g., deviation starts quickly vs.
deviation starts slowly).
CONCLUSION
The thinking-aloud example from the WINFIRE microworld
described earlier demonstrates that a person’s CPS process
is influenced by the person’s needs. We have focused in
our discussion on motivational processes that are considered
in the framework of need theories. Beyond that, other
motivational theories exist that focus on the importance of
motivation for learning and achievement (e.g., expectancy,
reasons for engagement, see Eccles and Wigfield, 2002). Thus, the
applicability of these theories to CPS could be explored in future
studies as well.
We discussed the three motivational theories of McClelland’s
Achievement Motivation, Maslow’s Hierarchy of Need, and
Dörner’s Theory of Motivation as part of PSI-Theory. Although,
the theories differ our discussion has shown that the three
theories can be applied to CPS. Problem solving is a
motivated process and determined by human motivations and
needs.
AUTHOR CONTRIBUTIONS
The first author CG conceptualized the manuscript,
selected the thinking-aloud passage, the second author
MB primarily summarized McClellands and Maslow’s
theories. All authors contributed to writing up the
manuscript.
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Conflict of Interest Statement: The authors declare that the research was
conducted in the absence of any commercial or financial relationships that could
be construed as a potential conflict of interest.
Copyright © 2017 Güss, Burger and Dörner. This is an open-access article distributed
under the terms of the Creative Commons Attribution License (CC BY). The use,
distribution or reproduction in other forums is permitted, provided the original
author(s) or licensor are credited and that the original publication in this journal
is cited, in accordance with accepted academic practice. No use, distribution or
reproduction is permitted which does not comply with these terms.
Frontiers in Psychology | www.frontiersin.org 5May 2017 | Volume 8 | Article 851
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... Bransford and Stein's (1993) classic IDEAL model proposes a similar set of steps: Identify, Define, Explore, Act, and Look back. Complex problem solving and dynamic decision making involve, however, not only cognitive, but also motivational, emotional, and self-related processes (Güss et al., 2010(Güss et al., , 2017Dörner and Funke, 2017), but the exact sequence of these processes and the cultural differences related to this sequence have not yet been investigated. ...
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... Under appropriate conditions, motivation contributes to the ability of students to solve problems (Weith & Burns, 2005). Problem-solving is a motivated process and is determined by human motivations and needs (Güss et al., 2017). ...
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In 2002, a group of investigators joined forces to propose a new conceptual paradigm based on a cognitive approach to motivation. This approach, referred to as goal systems theory, offered a broad perspective on behavioral phenomena and inspired research programs in diverse domains of psychological science. The present volume collects the rich body of insights and findings that the goal systemic approach has yielded over the last two decades. These are contained in a set of chapters by leading researchers from some of the world’s most renowned universities who pushed the envelopes of their respective fields and discovered new psychological phenomena and relationships through applications of the goal systemic framework.
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Educational video games, with various motivational features and scaffolding support, have high potential for facilitating optimal learning and achievement. However, research on how students utilize game features, identify useful information, and explore solutions to in-game problem scenarios continues to be under-researched. This study aims to unpack the mechanisms underlying users’ in-game behaviours to identify emergent markers of optimal problem-solving performance in an educational video game. Survey data and computer logs were collected from 61 participants (36.4% middle and high-school students, Mage = 13; 63.6% university students, Mage = 21) to address the research inquiry of the present study. Results from the regression analysis not only showed an important link between individual characteristics (i.e., self-efficacy, prior knowledge) and success-striving in-game behaviour, but also highlighted the role of self-regulatory help-seeking behaviour in determining students’ optimal problem-solving pathways. Our findings add new perspectives to existing research of what learning behaviours are crucial for promoting self-regulation in digital game-based learning. These findings provide useful insight on how to design scaffolding tools in an open-ended problem-solving space to encourage student engagement in effective help-seeking behaviours for optimal learning performance.
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The current study had three goals: (1) to investigate strategies, tactics, and errors as predictors of success and failure under uncertainty following the dynamic decision making (DDM) and complex problem solving (CPS) framework; (2) to use observation and to examine its reliability and potential as a data collection method when using microworlds; and (3) to investigate the applicability and validity of a microworld developed in the West, to an Asian sample. One hundred three participants in the Philippines took the role of fire chief in the microworld WINFIRE (Gerdes, Dörner, & Pfeiffer, 1993). Their strategies, tactics, and errors were observed and coded by experimenters as they worked individually on the simulation twice. Results showed that (1) DDM strategies, tactics, and errors predicted success and failure in WIN-FIRE, and strategies and tactics that led to success increased while errors decreased over time; (2) strategies, tactics, and errors can be validly assessed through observation by experimenters, specifically that two types of decision makers were identified: the active, flexible, and big picture planners and the slow or cautious, and single-focused decision makers; (3) these findings together with participants' survey ratings speak for the applicability of the microworld in an East Asian sample and for its validity. Findings are potentially relevant for experts and for training programs, highlighting the benefits of virtual environments during DDM.
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This chapter reviews the recent research on motivation, beliefs, values, and goals, focusing on developmental and educational psychology. The authors divide the chapter into four major sections: theories focused on expectancies for success (self-efficacy theory and control theory), theories focused on task value (theories focused on intrinsic motivation, self-determination, flow, interest, and goals), theories that integrate expectancies and values (attribution theory, the expectancy-value models of Eccles et al., Feather, and Heckhausen, and self-worth theory), and theories integrating motivation and cognition (social cognitive theories of self-regulation and motivation, the work by Winne & Marx, Borkowski et al., Pintrich et al., and theories of motivation and volition). The authors end the chapter with a discussion of how to integrate theories of self-regulation and expectancy-value models of motivation and suggest new directions for future research.
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This article describes PSI theory, which is a formalized computational architecture of human psychological processes. In contrast to other existing theories, PSI theory not only models cognitive, but also motivational and emotional processes and their interactions. The article starts with a brief overview of the theory showing the connections between its different parts. We then discuss the theory’s components in greater detail. Key constructs and processes are the five basic human needs, the satisfaction of needs using the cognitive system, including perception, schemas in memory, planning, and action. Furthermore, emotions are defined and the role of emotions in cognitive and motivational processes is elaborated, referring to a specific example. The neural basis of the PSI theory is also highlighted referring to the “quad structure,” to specific brain areas, and to thinking as scanning in a neural network. Finally, some evidence for the validity of the theory is provided.
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Our cognitive–motivational process model (Vollmeyer, R. & Rheinberg, F. (1998). Motivationale Einflüsse auf Erwerb und Anwendung von Wissen in einem computersimulierten System. [Motivational influences on the acquisition and application of knowledge in a simulated system.] Zeitschrift für Pädagogische Psychologie, 12, 11–23.) assumes that motivational factors affect performance via mediators. Such a potential mediator is persistence. Fifty-one students learnt a complex dynamic system. We measured their initial motivation (mastery confidence, incompetence fear, interest and challenge), then a set of mediating variables during learning. Performance measures were knowledge acquisition and knowledge application. A path-analysis showed that initial motivation influenced persistence. However, any possible relationship between persistence and performance was disrupted because learners with more knowledge stopped sooner (i.e., were classified as lowly persistent). Thus highly persistent learners did not have higher mean final performance, despite acquiring more knowledge over trials.
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The translation of this volume has been a long and sometime arduous journey giving nearly literal meaning to the Latin term translatus, meaning to carry across. In fact, it required many journeys both geographically, between Canada and Germany, and fig­ uratively, between German and English language, thought, and culture; between the mind of a German professor and that of his American colleague. Whether or not it was all worthwhile must be left to the reader's judgment, but let me outline the rationale for embarking on this venture. When the first German edition of this book appeared in 1980 it was acclaimed not only by German scholars but by those outside the German-speaking community as well. In fact, it received extremely favorable reviews, even in English-language journals, which is unusual for a foreign text. It was recognized that this was far more than just another text book on motivation. For one thing, it exposed and examined the multi­ faceted roots that have contributed to contemporary theory and research in motivation. The author skillfully examined the motivational concepts, theories, and research that have emanated from many areas of psychology such as learning theory, social psychol­ ogy, personality, psychoanalysis, and clinical psychology.
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The purpose of this meta-analysis is to examine the nature and magnitude of the relation between complex problem-solving skills (CPS) and intelligence, a topic that has been widely discussed and that has instigated a vast array of partially contradicting findings in the past. Theoretically, researchers have hypothesized the two constructs to be everything from completely separate to identical. Over the course of almost four decades, empirical studies yielded results in support of both arguments. Our meta-analysis of 47 studies containing 60 independent samples and a total sample size of 13,740 participants revealed a substantial correlation of CPS and intelligence with an average effect size of M(g) = .433. In addition, we investigated whether the operationalization of CPS and intelligence moderated this correlation. Whereas there were no significant correlation differences considering the operationalization of intelligence, the approach used to measure CPS moderated the correlation of CPS and intelligence. Especially the most recent approach towards the assessment of CPS yielded the strongest associations between the two constructs. Implications for existing theories and future research are discussed.
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Three experiments explore the relationship between performance on a cognitive task and the explicit or reportable knowledge associated with that performance (assessed here by written post-task questionnaire). They examine how this relationship is affected by task experience, verbal instruction and concurrent verbalization. It is shown that practice significantly improves ability to control semi-complex computer-implemented systems but has no effect on the ability to answer related questions. In contrast, verbal instruction significantly improves ability to answer questions but has no effect on control performance. Verbal instruction combined with concurrent verbalization does lead to a significant improvement in control scores. Verbalization alone, however, has no effect on task performance or question answering.