cognitive ability problem solving

Cognitive Behavioral Therapy

Solving problems the cognitive-behavioral way, problem solving is another part of behavioral therapy..

Posted February 2, 2022 | Reviewed by Ekua Hagan

• What Is Cognitive Behavioral Therapy?
• Find a therapist who practices CBT
• Problem-solving is one technique used on the behavioral side of cognitive-behavioral therapy.
• The problem-solving technique is an iterative, five-step process that requires one to identify the problem and test different solutions.
• The technique differs from ad-hoc problem-solving in its suspension of judgment and evaluation of each solution.

As I have mentioned in previous posts, cognitive behavioral therapy is more than challenging negative, automatic thoughts. There is a whole behavioral piece of this therapy that focuses on what people do and how to change their actions to support their mental health. In this post, I’ll talk about the problem-solving technique from cognitive behavioral therapy and what makes it unique.

The problem-solving technique

While there are many different variations of this technique, I am going to describe the version I typically use, and which includes the main components of the technique:

The first step is to clearly define the problem. Sometimes, this includes answering a series of questions to make sure the problem is described in detail. Sometimes, the client is able to define the problem pretty clearly on their own. Sometimes, a discussion is needed to clearly outline the problem.

The next step is generating solutions without judgment. The "without judgment" part is crucial: Often when people are solving problems on their own, they will reject each potential solution as soon as they or someone else suggests it. This can lead to feeling helpless and also discarding solutions that would work.

The third step is evaluating the advantages and disadvantages of each solution. This is the step where judgment comes back.

Fourth, the client picks the most feasible solution that is most likely to work and they try it out.

The fifth step is evaluating whether the chosen solution worked, and if not, going back to step two or three to find another option. For step five, enough time has to pass for the solution to have made a difference.

This process is iterative, meaning the client and therapist always go back to the beginning to make sure the problem is resolved and if not, identify what needs to change.

Advantages of the problem-solving technique

The problem-solving technique might differ from ad hoc problem-solving in several ways. The most obvious is the suspension of judgment when coming up with solutions. We sometimes need to withhold judgment and see the solution (or problem) from a different perspective. Deliberately deciding not to judge solutions until later can help trigger that mindset change.

Another difference is the explicit evaluation of whether the solution worked. When people usually try to solve problems, they don’t go back and check whether the solution worked. It’s only if something goes very wrong that they try again. The problem-solving technique specifically includes evaluating the solution.

Lastly, the problem-solving technique starts with a specific definition of the problem instead of just jumping to solutions. To figure out where you are going, you have to know where you are.

One benefit of the cognitive behavioral therapy approach is the behavioral side. The behavioral part of therapy is a wide umbrella that includes problem-solving techniques among other techniques. Accessing multiple techniques means one is more likely to address the client’s main concern.

Salene M. W. Jones, Ph.D., is a clinical psychologist in Washington State.

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48 Problem Solving

Department of Psychological and Brain Sciences, University of California, Santa Barbara

• Published: 03 June 2013
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Problem solving refers to cognitive processing directed at achieving a goal when the problem solver does not initially know a solution method. A problem exists when someone has a goal but does not know how to achieve it. Problems can be classified as routine or nonroutine, and as well defined or ill defined. The major cognitive processes in problem solving are representing, planning, executing, and monitoring. The major kinds of knowledge required for problem solving are facts, concepts, procedures, strategies, and beliefs. Classic theoretical approaches to the study of problem solving are associationism, Gestalt, and information processing. Current issues and suggested future issues include decision making, intelligence and creativity, teaching of thinking skills, expert problem solving, analogical reasoning, mathematical and scientific thinking, everyday thinking, and the cognitive neuroscience of problem solving. Common themes concern the domain specificity of problem solving and a focus on problem solving in authentic contexts.

The study of problem solving begins with defining problem solving, problem, and problem types. This introduction to problem solving is rounded out with an examination of cognitive processes in problem solving, the role of knowledge in problem solving, and historical approaches to the study of problem solving.

Definition of Problem Solving

Problem solving refers to cognitive processing directed at achieving a goal for which the problem solver does not initially know a solution method. This definition consists of four major elements (Mayer, 1992 ; Mayer & Wittrock, 2006 ):

Cognitive —Problem solving occurs within the problem solver’s cognitive system and can only be inferred indirectly from the problem solver’s behavior (including biological changes, introspections, and actions during problem solving). Process —Problem solving involves mental computations in which some operation is applied to a mental representation, sometimes resulting in the creation of a new mental representation. Directed —Problem solving is aimed at achieving a goal. Personal —Problem solving depends on the existing knowledge of the problem solver so that what is a problem for one problem solver may not be a problem for someone who already knows a solution method.

The definition is broad enough to include a wide array of cognitive activities such as deciding which apartment to rent, figuring out how to use a cell phone interface, playing a game of chess, making a medical diagnosis, finding the answer to an arithmetic word problem, or writing a chapter for a handbook. Problem solving is pervasive in human life and is crucial for human survival. Although this chapter focuses on problem solving in humans, problem solving also occurs in nonhuman animals and in intelligent machines.

How is problem solving related to other forms of high-level cognition processing, such as thinking and reasoning? Thinking refers to cognitive processing in individuals but includes both directed thinking (which corresponds to the definition of problem solving) and undirected thinking such as daydreaming (which does not correspond to the definition of problem solving). Thus, problem solving is a type of thinking (i.e., directed thinking).

Reasoning refers to problem solving within specific classes of problems, such as deductive reasoning or inductive reasoning. In deductive reasoning, the reasoner is given premises and must derive a conclusion by applying the rules of logic. For example, given that “A is greater than B” and “B is greater than C,” a reasoner can conclude that “A is greater than C.” In inductive reasoning, the reasoner is given (or has experienced) a collection of examples or instances and must infer a rule. For example, given that X, C, and V are in the “yes” group and x, c, and v are in the “no” group, the reasoning may conclude that B is in “yes” group because it is in uppercase format. Thus, reasoning is a type of problem solving.

Definition of Problem

A problem occurs when someone has a goal but does not know to achieve it. This definition is consistent with how the Gestalt psychologist Karl Duncker ( 1945 , p. 1) defined a problem in his classic monograph, On Problem Solving : “A problem arises when a living creature has a goal but does not know how this goal is to be reached.” However, today researchers recognize that the definition should be extended to include problem solving by intelligent machines. This definition can be clarified using an information processing approach by noting that a problem occurs when a situation is in the given state, the problem solver wants the situation to be in the goal state, and there is no obvious way to move from the given state to the goal state (Newell & Simon, 1972 ). Accordingly, the three main elements in describing a problem are the given state (i.e., the current state of the situation), the goal state (i.e., the desired state of the situation), and the set of allowable operators (i.e., the actions the problem solver is allowed to take). The definition of “problem” is broad enough to include the situation confronting a physician who wishes to make a diagnosis on the basis of preliminary tests and a patient examination, as well as a beginning physics student trying to solve a complex physics problem.

Types of Problems

It is customary in the problem-solving literature to make a distinction between routine and nonroutine problems. Routine problems are problems that are so familiar to the problem solver that the problem solver knows a solution method. For example, for most adults, “What is 365 divided by 12?” is a routine problem because they already know the procedure for long division. Nonroutine problems are so unfamiliar to the problem solver that the problem solver does not know a solution method. For example, figuring out the best way to set up a funding campaign for a nonprofit charity is a nonroutine problem for most volunteers. Technically, routine problems do not meet the definition of problem because the problem solver has a goal but knows how to achieve it. Much research on problem solving has focused on routine problems, although most interesting problems in life are nonroutine.

Another customary distinction is between well-defined and ill-defined problems. Well-defined problems have a clearly specified given state, goal state, and legal operators. Examples include arithmetic computation problems or games such as checkers or tic-tac-toe. Ill-defined problems have a poorly specified given state, goal state, or legal operators, or a combination of poorly defined features. Examples include solving the problem of global warming or finding a life partner. Although, ill-defined problems are more challenging, much research in problem solving has focused on well-defined problems.

Cognitive Processes in Problem Solving

The process of problem solving can be broken down into two main phases: problem representation , in which the problem solver builds a mental representation of the problem situation, and problem solution , in which the problem solver works to produce a solution. The major subprocess in problem representation is representing , which involves building a situation model —that is, a mental representation of the situation described in the problem. The major subprocesses in problem solution are planning , which involves devising a plan for how to solve the problem; executing , which involves carrying out the plan; and monitoring , which involves evaluating and adjusting one’s problem solving.

For example, given an arithmetic word problem such as “Alice has three marbles. Sarah has two more marbles than Alice. How many marbles does Sarah have?” the process of representing involves building a situation model in which Alice has a set of marbles, there is set of marbles for the difference between the two girls, and Sarah has a set of marbles that consists of Alice’s marbles and the difference set. In the planning process, the problem solver sets a goal of adding 3 and 2. In the executing process, the problem solver carries out the computation, yielding an answer of 5. In the monitoring process, the problem solver looks over what was done and concludes that 5 is a reasonable answer. In most complex problem-solving episodes, the four cognitive processes may not occur in linear order, but rather may interact with one another. Although some research focuses mainly on the execution process, problem solvers may tend to have more difficulty with the processes of representing, planning, and monitoring.

Knowledge for Problem Solving

An important theme in problem-solving research is that problem-solving proficiency on any task depends on the learner’s knowledge (Anderson et al., 2001 ; Mayer, 1992 ). Five kinds of knowledge are as follows:

Facts —factual knowledge about the characteristics of elements in the world, such as “Sacramento is the capital of California” Concepts —conceptual knowledge, including categories, schemas, or models, such as knowing the difference between plants and animals or knowing how a battery works Procedures —procedural knowledge of step-by-step processes, such as how to carry out long-division computations Strategies —strategic knowledge of general methods such as breaking a problem into parts or thinking of a related problem Beliefs —attitudinal knowledge about how one’s cognitive processing works such as thinking, “I’m good at this”

Although some research focuses mainly on the role of facts and procedures in problem solving, complex problem solving also depends on the problem solver’s concepts, strategies, and beliefs (Mayer, 1992 ).

Historical Approaches to Problem Solving

Psychological research on problem solving began in the early 1900s, as an outgrowth of mental philosophy (Humphrey, 1963 ; Mandler & Mandler, 1964 ). Throughout the 20th century four theoretical approaches developed: early conceptions, associationism, Gestalt psychology, and information processing.

Early Conceptions

The start of psychology as a science can be set at 1879—the year Wilhelm Wundt opened the first world’s psychology laboratory in Leipzig, Germany, and sought to train the world’s first cohort of experimental psychologists. Instead of relying solely on philosophical speculations about how the human mind works, Wundt sought to apply the methods of experimental science to issues addressed in mental philosophy. His theoretical approach became structuralism —the analysis of consciousness into its basic elements.

Wundt’s main contribution to the study of problem solving, however, was to call for its banishment. According to Wundt, complex cognitive processing was too complicated to be studied by experimental methods, so “nothing can be discovered in such experiments” (Wundt, 1911/1973 ). Despite his admonishments, however, a group of his former students began studying thinking mainly in Wurzburg, Germany. Using the method of introspection, subjects were asked to describe their thought process as they solved word association problems, such as finding the superordinate of “newspaper” (e.g., an answer is “publication”). Although the Wurzburg group—as they came to be called—did not produce a new theoretical approach, they found empirical evidence that challenged some of the key assumptions of mental philosophy. For example, Aristotle had proclaimed that all thinking involves mental imagery, but the Wurzburg group was able to find empirical evidence for imageless thought .

Associationism

The first major theoretical approach to take hold in the scientific study of problem solving was associationism —the idea that the cognitive representations in the mind consist of ideas and links between them and that cognitive processing in the mind involves following a chain of associations from one idea to the next (Mandler & Mandler, 1964 ; Mayer, 1992 ). For example, in a classic study, E. L. Thorndike ( 1911 ) placed a hungry cat in what he called a puzzle box—a wooden crate in which pulling a loop of string that hung from overhead would open a trap door to allow the cat to escape to a bowl of food outside the crate. Thorndike placed the cat in the puzzle box once a day for several weeks. On the first day, the cat engaged in many extraneous behaviors such as pouncing against the wall, pushing its paws through the slats, and meowing, but on successive days the number of extraneous behaviors tended to decrease. Overall, the time required to get out of the puzzle box decreased over the course of the experiment, indicating the cat was learning how to escape.

Thorndike’s explanation for how the cat learned to solve the puzzle box problem is based on an associationist view: The cat begins with a habit family hierarchy —a set of potential responses (e.g., pouncing, thrusting, meowing, etc.) all associated with the same stimulus (i.e., being hungry and confined) and ordered in terms of strength of association. When placed in the puzzle box, the cat executes its strongest response (e.g., perhaps pouncing against the wall), but when it fails, the strength of the association is weakened, and so on for each unsuccessful action. Eventually, the cat gets down to what was initially a weak response—waving its paw in the air—but when that response leads to accidentally pulling the string and getting out, it is strengthened. Over the course of many trials, the ineffective responses become weak and the successful response becomes strong. Thorndike refers to this process as the law of effect : Responses that lead to dissatisfaction become less associated with the situation and responses that lead to satisfaction become more associated with the situation. According to Thorndike’s associationist view, solving a problem is simply a matter of trial and error and accidental success. A major challenge to assocationist theory concerns the nature of transfer—that is, where does a problem solver find a creative solution that has never been performed before? Associationist conceptions of cognition can be seen in current research, including neural networks, connectionist models, and parallel distributed processing models (Rogers & McClelland, 2004 ).

Gestalt Psychology

The Gestalt approach to problem solving developed in the 1930s and 1940s as a counterbalance to the associationist approach. According to the Gestalt approach, cognitive representations consist of coherent structures (rather than individual associations) and the cognitive process of problem solving involves building a coherent structure (rather than strengthening and weakening of associations). For example, in a classic study, Kohler ( 1925 ) placed a hungry ape in a play yard that contained several empty shipping crates and a banana attached overhead but out of reach. Based on observing the ape in this situation, Kohler noted that the ape did not randomly try responses until one worked—as suggested by Thorndike’s associationist view. Instead, the ape stood under the banana, looked up at it, looked at the crates, and then in a flash of insight stacked the crates under the bananas as a ladder, and walked up the steps in order to reach the banana.

According to Kohler, the ape experienced a sudden visual reorganization in which the elements in the situation fit together in a way to solve the problem; that is, the crates could become a ladder that reduces the distance to the banana. Kohler referred to the underlying mechanism as insight —literally seeing into the structure of the situation. A major challenge of Gestalt theory is its lack of precision; for example, naming a process (i.e., insight) is not the same as explaining how it works. Gestalt conceptions can be seen in modern research on mental models and schemas (Gentner & Stevens, 1983 ).

Information Processing

The information processing approach to problem solving developed in the 1960s and 1970s and was based on the influence of the computer metaphor—the idea that humans are processors of information (Mayer, 2009 ). According to the information processing approach, problem solving involves a series of mental computations—each of which consists of applying a process to a mental representation (such as comparing two elements to determine whether they differ).

In their classic book, Human Problem Solving , Newell and Simon ( 1972 ) proposed that problem solving involved a problem space and search heuristics . A problem space is a mental representation of the initial state of the problem, the goal state of the problem, and all possible intervening states (based on applying allowable operators). Search heuristics are strategies for moving through the problem space from the given to the goal state. Newell and Simon focused on means-ends analysis , in which the problem solver continually sets goals and finds moves to accomplish goals.

Newell and Simon used computer simulation as a research method to test their conception of human problem solving. First, they asked human problem solvers to think aloud as they solved various problems such as logic problems, chess, and cryptarithmetic problems. Then, based on an information processing analysis, Newell and Simon created computer programs that solved these problems. In comparing the solution behavior of humans and computers, they found high similarity, suggesting that the computer programs were solving problems using the same thought processes as humans.

An important advantage of the information processing approach is that problem solving can be described with great clarity—as a computer program. An important limitation of the information processing approach is that it is most useful for describing problem solving for well-defined problems rather than ill-defined problems. The information processing conception of cognition lives on as a keystone of today’s cognitive science (Mayer, 2009 ).

Classic Issues in Problem Solving

Three classic issues in research on problem solving concern the nature of transfer (suggested by the associationist approach), the nature of insight (suggested by the Gestalt approach), and the role of problem-solving heuristics (suggested by the information processing approach).

Transfer refers to the effects of prior learning on new learning (or new problem solving). Positive transfer occurs when learning A helps someone learn B. Negative transfer occurs when learning A hinders someone from learning B. Neutral transfer occurs when learning A has no effect on learning B. Positive transfer is a central goal of education, but research shows that people often do not transfer what they learned to solving problems in new contexts (Mayer, 1992 ; Singley & Anderson, 1989 ).

Three conceptions of the mechanisms underlying transfer are specific transfer , general transfer , and specific transfer of general principles . Specific transfer refers to the idea that learning A will help someone learn B only if A and B have specific elements in common. For example, learning Spanish may help someone learn Latin because some of the vocabulary words are similar and the verb conjugation rules are similar. General transfer refers to the idea that learning A can help someone learn B even they have nothing specifically in common but A helps improve the learner’s mind in general. For example, learning Latin may help people learn “proper habits of mind” so they are better able to learn completely unrelated subjects as well. Specific transfer of general principles is the idea that learning A will help someone learn B if the same general principle or solution method is required for both even if the specific elements are different.

In a classic study, Thorndike and Woodworth ( 1901 ) found that students who learned Latin did not subsequently learn bookkeeping any better than students who had not learned Latin. They interpreted this finding as evidence for specific transfer—learning A did not transfer to learning B because A and B did not have specific elements in common. Modern research on problem-solving transfer continues to show that people often do not demonstrate general transfer (Mayer, 1992 ). However, it is possible to teach people a general strategy for solving a problem, so that when they see a new problem in a different context they are able to apply the strategy to the new problem (Judd, 1908 ; Mayer, 2008 )—so there is also research support for the idea of specific transfer of general principles.

Insight refers to a change in a problem solver’s mind from not knowing how to solve a problem to knowing how to solve it (Mayer, 1995 ; Metcalfe & Wiebe, 1987 ). In short, where does the idea for a creative solution come from? A central goal of problem-solving research is to determine the mechanisms underlying insight.

The search for insight has led to five major (but not mutually exclusive) explanatory mechanisms—insight as completing a schema, insight as suddenly reorganizing visual information, insight as reformulation of a problem, insight as removing mental blocks, and insight as finding a problem analog (Mayer, 1995 ). Completing a schema is exemplified in a study by Selz (Fridja & de Groot, 1982 ), in which people were asked to think aloud as they solved word association problems such as “What is the superordinate for newspaper?” To solve the problem, people sometimes thought of a coordinate, such as “magazine,” and then searched for a superordinate category that subsumed both terms, such as “publication.” According to Selz, finding a solution involved building a schema that consisted of a superordinate and two subordinate categories.

Reorganizing visual information is reflected in Kohler’s ( 1925 ) study described in a previous section in which a hungry ape figured out how to stack boxes as a ladder to reach a banana hanging above. According to Kohler, the ape looked around the yard and found the solution in a flash of insight by mentally seeing how the parts could be rearranged to accomplish the goal.

Reformulating a problem is reflected in a classic study by Duncker ( 1945 ) in which people are asked to think aloud as they solve the tumor problem—how can you destroy a tumor in a patient without destroying surrounding healthy tissue by using rays that at sufficient intensity will destroy any tissue in their path? In analyzing the thinking-aloud protocols—that is, transcripts of what the problem solvers said—Duncker concluded that people reformulated the goal in various ways (e.g., avoid contact with healthy tissue, immunize healthy tissue, have ray be weak in healthy tissue) until they hit upon a productive formulation that led to the solution (i.e., concentrating many weak rays on the tumor).

Removing mental blocks is reflected in classic studies by Duncker ( 1945 ) in which solving a problem involved thinking of a novel use for an object, and by Luchins ( 1942 ) in which solving a problem involved not using a procedure that had worked well on previous problems. Finding a problem analog is reflected in classic research by Wertheimer ( 1959 ) in which learning to find the area of a parallelogram is supported by the insight that one could cut off the triangle on one side and place it on the other side to form a rectangle—so a parallelogram is really a rectangle in disguise. The search for insight along each of these five lines continues in current problem-solving research.

Heuristics are problem-solving strategies, that is, general approaches to how to solve problems. Newell and Simon ( 1972 ) suggested three general problem-solving heuristics for moving from a given state to a goal state: random trial and error , hill climbing , and means-ends analysis . Random trial and error involves randomly selecting a legal move and applying it to create a new problem state, and repeating that process until the goal state is reached. Random trial and error may work for simple problems but is not efficient for complex ones. Hill climbing involves selecting the legal move that moves the problem solver closer to the goal state. Hill climbing will not work for problems in which the problem solver must take a move that temporarily moves away from the goal as is required in many problems.

Means-ends analysis involves creating goals and seeking moves that can accomplish the goal. If a goal cannot be directly accomplished, a subgoal is created to remove one or more obstacles. Newell and Simon ( 1972 ) successfully used means-ends analysis as the search heuristic in a computer program aimed at general problem solving, that is, solving a diverse collection of problems. However, people may also use specific heuristics that are designed to work for specific problem-solving situations (Gigerenzer, Todd, & ABC Research Group, 1999 ; Kahneman & Tversky, 1984 ).

Current and Future Issues in Problem Solving

Eight current issues in problem solving involve decision making, intelligence and creativity, teaching of thinking skills, expert problem solving, analogical reasoning, mathematical and scientific problem solving, everyday thinking, and the cognitive neuroscience of problem solving.

Decision Making

Decision making refers to the cognitive processing involved in choosing between two or more alternatives (Baron, 2000 ; Markman & Medin, 2002 ). For example, a decision-making task may involve choosing between getting $240 for sure or having a 25% change of getting $1000. According to economic theories such as expected value theory, people should chose the second option, which is worth $250 (i.e., .25 x $1000) rather than the first option, which is worth $240 (1.00 x $240), but psychological research shows that most people prefer the first option (Kahneman & Tversky, 1984 ).

Research on decision making has generated three classes of theories (Markman & Medin, 2002 ): descriptive theories, such as prospect theory (Kahneman & Tversky), which are based on the ideas that people prefer to overweight the cost of a loss and tend to overestimate small probabilities; heuristic theories, which are based on the idea that people use a collection of short-cut strategies such as the availability heuristic (Gigerenzer et al., 1999 ; Kahneman & Tversky, 2000 ); and constructive theories, such as mental accounting (Kahneman & Tversky, 2000 ), in which people build a narrative to justify their choices to themselves. Future research is needed to examine decision making in more realistic settings.

Intelligence and Creativity

Although researchers do not have complete consensus on the definition of intelligence (Sternberg, 1990 ), it is reasonable to view intelligence as the ability to learn or adapt to new situations. Fluid intelligence refers to the potential to solve problems without any relevant knowledge, whereas crystallized intelligence refers to the potential to solve problems based on relevant prior knowledge (Sternberg & Gregorenko, 2003 ). As people gain more experience in a field, their problem-solving performance depends more on crystallized intelligence (i.e., domain knowledge) than on fluid intelligence (i.e., general ability) (Sternberg & Gregorenko, 2003 ). The ability to monitor and manage one’s cognitive processing during problem solving—which can be called metacognition —is an important aspect of intelligence (Sternberg, 1990 ). Research is needed to pinpoint the knowledge that is needed to support intelligent performance on problem-solving tasks.

Creativity refers to the ability to generate ideas that are original (i.e., other people do not think of the same idea) and functional (i.e., the idea works; Sternberg, 1999 ). Creativity is often measured using tests of divergent thinking —that is, generating as many solutions as possible for a problem (Guilford, 1967 ). For example, the uses test asks people to list as many uses as they can think of for a brick. Creativity is different from intelligence, and it is at the heart of creative problem solving—generating a novel solution to a problem that the problem solver has never seen before. An important research question concerns whether creative problem solving depends on specific knowledge or creativity ability in general.

Teaching of Thinking Skills

How can people learn to be better problem solvers? Mayer ( 2008 ) proposes four questions concerning teaching of thinking skills:

What to teach —Successful programs attempt to teach small component skills (such as how to generate and evaluate hypotheses) rather than improve the mind as a single monolithic skill (Covington, Crutchfield, Davies, & Olton, 1974 ). How to teach —Successful programs focus on modeling the process of problem solving rather than solely reinforcing the product of problem solving (Bloom & Broder, 1950 ). Where to teach —Successful programs teach problem-solving skills within the specific context they will be used rather than within a general course on how to solve problems (Nickerson, 1999 ). When to teach —Successful programs teaching higher order skills early rather than waiting until lower order skills are completely mastered (Tharp & Gallimore, 1988 ).

Overall, research on teaching of thinking skills points to the domain specificity of problem solving; that is, successful problem solving depends on the problem solver having domain knowledge that is relevant to the problem-solving task.

Expert Problem Solving

Research on expertise is concerned with differences between how experts and novices solve problems (Ericsson, Feltovich, & Hoffman, 2006 ). Expertise can be defined in terms of time (e.g., 10 years of concentrated experience in a field), performance (e.g., earning a perfect score on an assessment), or recognition (e.g., receiving a Nobel Prize or becoming Grand Master in chess). For example, in classic research conducted in the 1940s, de Groot ( 1965 ) found that chess experts did not have better general memory than chess novices, but they did have better domain-specific memory for the arrangement of chess pieces on the board. Chase and Simon ( 1973 ) replicated this result in a better controlled experiment. An explanation is that experts have developed schemas that allow them to chunk collections of pieces into a single configuration.

In another landmark study, Larkin et al. ( 1980 ) compared how experts (e.g., physics professors) and novices (e.g., first-year physics students) solved textbook physics problems about motion. Experts tended to work forward from the given information to the goal, whereas novices tended to work backward from the goal to the givens using a means-ends analysis strategy. Experts tended to store their knowledge in an integrated way, whereas novices tended to store their knowledge in isolated fragments. In another study, Chi, Feltovich, and Glaser ( 1981 ) found that experts tended to focus on the underlying physics concepts (such as conservation of energy), whereas novices tended to focus on the surface features of the problem (such as inclined planes or springs). Overall, research on expertise is useful in pinpointing what experts know that is different from what novices know. An important theme is that experts rely on domain-specific knowledge rather than solely general cognitive ability.

Analogical Reasoning

Analogical reasoning occurs when people solve one problem by using their knowledge about another problem (Holyoak, 2005 ). For example, suppose a problem solver learns how to solve a problem in one context using one solution method and then is given a problem in another context that requires the same solution method. In this case, the problem solver must recognize that the new problem has structural similarity to the old problem (i.e., it may be solved by the same method), even though they do not have surface similarity (i.e., the cover stories are different). Three steps in analogical reasoning are recognizing —seeing that a new problem is similar to a previously solved problem; abstracting —finding the general method used to solve the old problem; and mapping —using that general method to solve the new problem.

Research on analogical reasoning shows that people often do not recognize that a new problem can be solved by the same method as a previously solved problem (Holyoak, 2005 ). However, research also shows that successful analogical transfer to a new problem is more likely when the problem solver has experience with two old problems that have the same underlying structural features (i.e., they are solved by the same principle) but different surface features (i.e., they have different cover stories) (Holyoak, 2005 ). This finding is consistent with the idea of specific transfer of general principles as described in the section on “Transfer.”

Mathematical and Scientific Problem Solving

Research on mathematical problem solving suggests that five kinds of knowledge are needed to solve arithmetic word problems (Mayer, 2008 ):

Factual knowledge —knowledge about the characteristics of problem elements, such as knowing that there are 100 cents in a dollar Schematic knowledge —knowledge of problem types, such as being able to recognize time-rate-distance problems Strategic knowledge —knowledge of general methods, such as how to break a problem into parts Procedural knowledge —knowledge of processes, such as how to carry our arithmetic operations Attitudinal knowledge —beliefs about one’s mathematical problem-solving ability, such as thinking, “I am good at this”

People generally possess adequate procedural knowledge but may have difficulty in solving mathematics problems because they lack factual, schematic, strategic, or attitudinal knowledge (Mayer, 2008 ). Research is needed to pinpoint the role of domain knowledge in mathematical problem solving.

Research on scientific problem solving shows that people harbor misconceptions, such as believing that a force is needed to keep an object in motion (McCloskey, 1983 ). Learning to solve science problems involves conceptual change, in which the problem solver comes to recognize that previous conceptions are wrong (Mayer, 2008 ). Students can be taught to engage in scientific reasoning such as hypothesis testing through direct instruction in how to control for variables (Chen & Klahr, 1999 ). A central theme of research on scientific problem solving concerns the role of domain knowledge.

Everyday Thinking

Everyday thinking refers to problem solving in the context of one’s life outside of school. For example, children who are street vendors tend to use different procedures for solving arithmetic problems when they are working on the streets than when they are in school (Nunes, Schlieman, & Carraher, 1993 ). This line of research highlights the role of situated cognition —the idea that thinking always is shaped by the physical and social context in which it occurs (Robbins & Aydede, 2009 ). Research is needed to determine how people solve problems in authentic contexts.

Cognitive Neuroscience of Problem Solving

The cognitive neuroscience of problem solving is concerned with the brain activity that occurs during problem solving. For example, using fMRI brain imaging methodology, Goel ( 2005 ) found that people used the language areas of the brain to solve logical reasoning problems presented in sentences (e.g., “All dogs are pets…”) and used the spatial areas of the brain to solve logical reasoning problems presented in abstract letters (e.g., “All D are P…”). Cognitive neuroscience holds the potential to make unique contributions to the study of problem solving.

Problem solving has always been a topic at the fringe of cognitive psychology—too complicated to study intensively but too important to completely ignore. Problem solving—especially in realistic environments—is messy in comparison to studying elementary processes in cognition. The field remains fragmented in the sense that topics such as decision making, reasoning, intelligence, expertise, mathematical problem solving, everyday thinking, and the like are considered to be separate topics, each with its own separate literature. Yet some recurring themes are the role of domain-specific knowledge in problem solving and the advantages of studying problem solving in authentic contexts.

Future Directions

Some important issues for future research include the three classic issues examined in this chapter—the nature of problem-solving transfer (i.e., How are people able to use what they know about previous problem solving to help them in new problem solving?), the nature of insight (e.g., What is the mechanism by which a creative solution is constructed?), and heuristics (e.g., What are some teachable strategies for problem solving?). In addition, future research in problem solving should continue to pinpoint the role of domain-specific knowledge in problem solving, the nature of cognitive ability in problem solving, how to help people develop proficiency in solving problems, and how to provide aids for problem solving.

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Further Reading

Baron, J. ( 2008 ). Thinking and deciding (4th ed). New York: Cambridge University Press.

Duncker, K. ( 1945 ). On problem solving. Psychological Monographs , 58(3) (Whole No. 270).

Holyoak, K. J. , & Morrison, R. G. ( 2005 ). The Cambridge handbook of thinking and reasoning . New York: Cambridge University Press.

Mayer, R. E. , & Wittrock, M. C. ( 2006 ). Problem solving. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 287–304). Mahwah, NJ: Erlbaum.

Sternberg, R. J. , & Ben-Zeev, T. ( 2001 ). Complex cognition: The psychology of human thought . New York: Oxford University Press.

Weisberg, R. W. ( 2006 ). Creativity . New York: Wiley.

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Complex cognition: the science of human reasoning, problem-solving, and decision-making

• Published: 23 March 2010
• Volume 11 , pages 99–102, ( 2010 )

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• Markus Knauff 1 &
• Ann G. Wolf 1  

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Climate change, globalization, policy of peace, and financial market crises—often we are faced with very complex problems. In order to tackle these complex problems, the responsible people should first come to mutual terms. An additional challenge is that typically the involved parties have different (often conflicting) interests and relate the problems to different emotions and wishes. These factors certainly do not ease the quest for a solution to these complex problems.

It is needless to say that the big problems of our time are not easy to solve. Less clear, however, is identifying the causes that led to these problems. Interest conflicts between social groups, the economic and social system or greed—one can think of many responsible factors for the large-scale problems we are currently confronted with.

The present “Special Corner: complex cognition” deals with questions in this regard that have often received little consideration. Under the headline “complex cognition”, we summarize mental activities such as thinking, reasoning, problem - solving, and decision - making that typically rely on the combination and interaction of more elementary processes such as perception, learning, memory, emotion, etc. (cf. Sternberg and Ben-Zeev 2001 ). However, even though complex cognition relies on these elementary functions, the scope of complex cognition research goes beyond the isolated analysis of such elementary mental processes. Two aspects are essential for “complex cognition”: The first aspect refers to the interaction of different mental activities such as perception, memory, learning, reasoning, emotion, etc. The second aspect takes the complexity of the situation into account an agent is confronted with. Based on these two aspects, the term “complex cognition” can be defined in the following way:

Complex psychological processes: We talk about “complex cognition”, when thinking, problem-solving, or decision-making falls back on other cognitive processes such as “perception”, “working memory”, “long-term memory”, “executive processes”, or when the cognitive processes are in close connection with other processes such as “emotion” and “motivation”. The complexity also results from an interaction from a multitude of processes that occur simultaneously or at different points in time and can be realized in different cognitive and/or neuronal structures.

Complex conditions: We also talk about “complex cognition” when the conditions are complex in which a person finds himself and in which conclusions need to be drawn, a problem needs to be solved, or decisions need to be made. The complexity of the conditions or constraints can have different causes. The situation structure itself can be difficult to “see”, or the action alternatives are difficult “to put into effect”. The conditions can themselves comprise of many different variables. These variables can exhibit a high level of interdependence and cross-connection, and it can, as time passes by, come to a change of the original conditions (e.g. Dörner and Wearing 1995 ; Osman 2010 ). It can also be the case that the problem is embedded in a larger social context and can be solved only under certain specifications (norms, data, legislations, culture, etc.) or that the problem can only be solved in interaction with other agents, be it other persons or technical systems.

When one summarizes these two aspects, this yields the following view of what should be understood as “complex cognition”.

As “complex cognition” we define all mental processes that are used by individuals for deriving new information out of given information, with the intention to solve problems, make decision, and plan actions. The crucial characteristic of “complex cognition” is that it takes place under complex conditions in which a multitude of cognitive processes interact with one another or with other noncognitive processes.

The “Special Corner: complex cognition” deals with complex cognition from many different perspectives. The typical questions of all contributions are: Does the design of the human mind enable the necessary thinking skills to solve the truly complex problems we are faced with? Where lay the boundaries of our thinking skills? How do people derive at conclusions? What makes a problem a complex problem? How can we improve our skills to effectively solve problems and make sound judgements?

It is for sure too much to expect that the Special Corner answers these questions. If it were that easy, we would not be still searching for an answer. It is, however, our intention with the current collection of articles to bring to focus such questions to a larger extent than has been done so far.

An important starting point is the fact that people’s skills to solve the most complex of all problems and to ponder about the most complex issues is often immense—humankind would not otherwise be there were she is now. Yet, on the other hand, it has become more clear in the past few years that often people drift away from what one would identify as “rational” (Kahneman 2003 ). People hardly ever adhere to that what the norms of logic, the probability calculus, or the mathematical decision theory state. For example, most people (and organizations) typically accept more losses for a potential high gain than would be the case if they were to take into account the rules of the probability theory. Similarly, they draw conclusions from received information in a way that is not according to the rules of logic. When people, for example, accept the rule “If it rains, then the street is wet”, they most often conclude that when the street is wet, it must have rained. That, however, is incorrect from a logical perspective: perhaps a cleaning car just drove by. In psychology, two main views are traditionally put forward to explain how such deviations from the normative guidelines occur. One scientific stream is interested in how deviations from the normative models can be explained (Evans 2005 ; Johnson-Laird 2008 ; Knauff 2007 ; Reason 1990 ). According to this line of research, deviations are caused by the limitations of the human cognitive system. The other psychological stream puts forward as the main criticism that the deviations can actually be regarded as mistakes (Gigerenzer 2008 ). The deviations accordingly have a high value, because they are adjusted to the information structure of the environment (Gigerenzer et al. 1999 ). They have probably developed during evolution, because they could ensure survival as for example the specifications of formal logic (Hertwig and Herzog 2009 ). We, the editors of the special corner, are very pleased that we can offer an impression of this debate with the contributions from Marewski, Gaissmaier, and Gigerenzer and the commentaries to this contribution from Evans and Over. Added to this is a reply from Marewski, Gaissmaier, and Gigerenzer to the commentary from Evans and Over.

Another topic in the area of complex cognition can be best illustrated by means of the climate protection. To be successful in this area, the responsible actors have to consider a multitude of ecological, biological, geological, political, and economical factors, the basic conditions are constantly at change, and the intervention methods are not clear. Because the necessary information is not readily available for the person dealing with the problem, the person is forced to obtain the relevant information from other sources. Furthermore, intervention in the complex variable structure of the climate can trigger processes whose impact was likely not intended. Finally, the system will not “wait” for intervention of the actors but will change itself over time. The special corner is also concerned with thinking and problem-solving in such complex situations. The article by Funke gives an overview of the current state of research on this topic from the viewpoint of the author, in which several research areas are covered that have internationally not received much acknowledgement (but see, for example, Osman 2010 ).

Although most contributions to the special corner come from the area of psychology, the contribution by Ragni and Löffler illustrates that computer science can provide a valuable addition to the understanding of complex cognition. Computer science plays an important role in complex cognition. In general, computer science, which is used to investigate computational processes central to all research approaches, can be placed in a “computational theory of cognition” framework. This is true especially for the development of computational theories of complex cognitive processes. In many of our modern knowledge domains, the application of simulations and modelling has become a major part of the methods inventory. Simulations help forecast the weather and climate change, help govern traffic flow and help comprehend physical processes. Although modelling in these areas is a vastly established method, it has been very little applied in the area of human thinking (but see e.g. Anderson 1990 ; Gray 2007 ). However, exactly in the area of complex cognition, the method of cognitive modelling offers empirical research an additional methodological access to the description and explanation of complex cognitive processes. While the validity of psychological theories can be tested with the use of empirical research, cognitive models, with their internal coherence, make possible to test consistency and completeness (e.g. Schmid 2008 ). They will also lead to new hypotheses that will in turn be possible to test experimentally. The contribution of Ragni and Löffler demonstrates with the help of an interesting example, finding the optimal route, the usefulness of simulation and modelling in psychology.

A further problem in the area of complex cognition is that many problems are solvable only under certain social conditions (norms, values, laws, culture) or only in interaction with other actors (cf. Beller 2008 ). The article on deontic reasoning by Beller is concerned with this topic. Deontic reasoning is thinking about whether actions are forbidden or allowed, obligatory or not obligatory. Beller proposes that social norms, imposing constraints on individual actions, constitute the fundamental concept for deontic thinking and that people reason from such norms flexibly according to deontic core principles. The review paper shows how knowing what in a certain situation is allowed or forbidden can influence how people derive at conclusions.

The article of Waldmann, Meder, von Sydow, and Hagmayer is concerned with the important topic of causal reasoning. More specifically, the authors explore the interaction between category and causal induction in causal model learning. The paper is a good example of how experimental work in psychology can combine different research traditions that typically work quite isolated. The paper goes beyond a divide and conquers approach and shows that causal knowledge plays an important role in learning, categorization, perception, decision-making, problem-solving, and text comprehension. In each of these fields, separate theories have been developed to investigate the role of causal knowledge. The first author of the paper is internationally well known for his work on the role of causality in other cognitive functions, in particular in categorization and learning (e.g. Lagnado et al. 2007 ; Waldmann et al. 1995 ). In a number of experimental studies, Waldmann and his colleagues have shown that people when learning about causal relations do not simply form associations between causes and effects but make use of abstract prior assumptions about the underlying causal structure and functional form (Waldmann 2007 ).

We, the guest editors, are very pleased that we have the opportunity with this Special corner to make accessible the topic “complex cognition” to the interdisciplinary readership of Cognitive Processing . We predict a bright future for this topic. The research topic possesses high research relevance in the area of basic research for a multitude of disciplines, for example psychology, computer science, and neuroscience. In addition, this area forms a good foundation for an interdisciplinary cooperation.

A further important reason for the positive development of the area is that the relevance of the area goes beyond fundamental research. In that way, the results of the area can for example also contribute to better understanding of the possibilities and borders of human thinking, problem-solving, and decisions in politics, corporations, and economy. In the long term, it might even lead to practical directions on how to avoid “mistakes” and help us better understand the global challenges of our time—Climate change, globalization, financial market crises, etc.

We thank all the authors for their insightful and inspiring contributions, a multitude of reviewers for their help, the editor-in-chief Marta Olivetti Belardinelli that she gave us the opportunity to address this topic, and the editorial manager, Thomas Hünefeldt, for his support for accomplishing the Special Corner. We wish the readers of the Special Corner lots of fun with reading the contributions!

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Knauff, M., Wolf, A.G. Complex cognition: the science of human reasoning, problem-solving, and decision-making. Cogn Process 11 , 99–102 (2010). https://doi.org/10.1007/s10339-010-0362-z

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10 Best Problem-Solving Therapy Worksheets & Activities

Cognitive science tells us that we regularly face not only well-defined problems but, importantly, many that are ill defined (Eysenck & Keane, 2015).

Sometimes, we find ourselves unable to overcome our daily problems or the inevitable (though hopefully infrequent) life traumas we face.

Problem-Solving Therapy aims to reduce the incidence and impact of mental health disorders and improve wellbeing by helping clients face life’s difficulties (Dobson, 2011).

This article introduces Problem-Solving Therapy and offers techniques, activities, and worksheets that mental health professionals can use with clients.

Before you continue, we thought you might like to download our three Positive Psychology Exercises for free . These science-based exercises explore fundamental aspects of positive psychology, including strengths, values, and self-compassion, and will give you the tools to enhance the wellbeing of your clients, students, or employees.

This Article Contains:

What is problem-solving therapy, 14 steps for problem-solving therapy, 3 best interventions and techniques, 7 activities and worksheets for your session, fascinating books on the topic, resources from positivepsychology.com, a take-home message.

Problem-Solving Therapy assumes that mental disorders arise in response to ineffective or maladaptive coping. By adopting a more realistic and optimistic view of coping, individuals can understand the role of emotions and develop actions to reduce distress and maintain mental wellbeing (Nezu & Nezu, 2009).

“Problem-solving therapy (PST) is a psychosocial intervention, generally considered to be under a cognitive-behavioral umbrella” (Nezu, Nezu, & D’Zurilla, 2013, p. ix). It aims to encourage the client to cope better with day-to-day problems and traumatic events and reduce their impact on mental and physical wellbeing.

Clinical research, counseling, and health psychology have shown PST to be highly effective in clients of all ages, ranging from children to the elderly, across multiple clinical settings, including schizophrenia, stress, and anxiety disorders (Dobson, 2011).

Can it help with depression?

PST appears particularly helpful in treating clients with depression. A recent analysis of 30 studies found that PST was an effective treatment with a similar degree of success as other successful therapies targeting depression (Cuijpers, Wit, Kleiboer, Karyotaki, & Ebert, 2020).

Other studies confirm the value of PST and its effectiveness at treating depression in multiple age groups and its capacity to combine with other therapies, including drug treatments (Dobson, 2011).

The major concepts

Effective coping varies depending on the situation, and treatment typically focuses on improving the environment and reducing emotional distress (Dobson, 2011).

PST is based on two overlapping models:

Social problem-solving model

This model focuses on solving the problem “as it occurs in the natural social environment,” combined with a general coping strategy and a method of self-control (Dobson, 2011, p. 198).

The model includes three central concepts:

• Social problem-solving
• The problem
• The solution

The model is a “self-directed cognitive-behavioral process by which an individual, couple, or group attempts to identify or discover effective solutions for specific problems encountered in everyday living” (Dobson, 2011, p. 199).

Relational problem-solving model

The theory of PST is underpinned by a relational problem-solving model, whereby stress is viewed in terms of the relationships between three factors:

• Stressful life events
• Emotional distress and wellbeing
• Problem-solving coping

Therefore, when a significant adverse life event occurs, it may require “sweeping readjustments in a person’s life” (Dobson, 2011, p. 202).

• Enhance positive problem orientation
• Decrease negative orientation
• Foster ability to apply rational problem-solving skills
• Reduce the tendency to avoid problem-solving
• Minimize the tendency to be careless and impulsive

D’Zurilla’s and Nezu’s model includes (modified from Dobson, 2011):

• Initial structuring Establish a positive therapeutic relationship that encourages optimism and explains the PST approach.
• Assessment Formally and informally assess areas of stress in the client’s life and their problem-solving strengths and weaknesses.
• Obstacles to effective problem-solving Explore typically human challenges to problem-solving, such as multitasking and the negative impact of stress. Introduce tools that can help, such as making lists, visualization, and breaking complex problems down.
• Problem orientation – fostering self-efficacy Introduce the importance of a positive problem orientation, adopting tools, such as visualization, to promote self-efficacy.
• Problem orientation – recognizing problems Help clients recognize issues as they occur and use problem checklists to ‘normalize’ the experience.
• Problem orientation – seeing problems as challenges Encourage clients to break free of harmful and restricted ways of thinking while learning how to argue from another point of view.
• Problem orientation – use and control emotions Help clients understand the role of emotions in problem-solving, including using feelings to inform the process and managing disruptive emotions (such as cognitive reframing and relaxation exercises).
• Problem orientation – stop and think Teach clients how to reduce impulsive and avoidance tendencies (visualizing a stop sign or traffic light).
• Problem definition and formulation Encourage an understanding of the nature of problems and set realistic goals and objectives.
• Generation of alternatives Work with clients to help them recognize the wide range of potential solutions to each problem (for example, brainstorming).
• Decision-making Encourage better decision-making through an improved understanding of the consequences of decisions and the value and likelihood of different outcomes.
• Solution implementation and verification Foster the client’s ability to carry out a solution plan, monitor its outcome, evaluate its effectiveness, and use self-reinforcement to increase the chance of success.
• Guided practice Encourage the application of problem-solving skills across multiple domains and future stressful problems.
• Rapid problem-solving Teach clients how to apply problem-solving questions and guidelines quickly in any given situation.

Success in PST depends on the effectiveness of its implementation; using the right approach is crucial (Dobson, 2011).

Problem-solving therapy – Baycrest

The following interventions and techniques are helpful when implementing more effective problem-solving approaches in client’s lives.

First, it is essential to consider if PST is the best approach for the client, based on the problems they present.

Is PPT appropriate?

It is vital to consider whether PST is appropriate for the client’s situation. Therapists new to the approach may require additional guidance (Nezu et al., 2013).

Therapists should consider the following questions before beginning PST with a client (modified from Nezu et al., 2013):

• Has PST proven effective in the past for the problem? For example, research has shown success with depression, generalized anxiety, back pain, Alzheimer’s disease, cancer, and supporting caregivers (Nezu et al., 2013).
• Is PST acceptable to the client?
• Is the individual experiencing a significant mental or physical health problem?

All affirmative answers suggest that PST would be a helpful technique to apply in this instance.

Five problem-solving steps

The following five steps are valuable when working with clients to help them cope with and manage their environment (modified from Dobson, 2011).

Ask the client to consider the following points (forming the acronym ADAPT) when confronted by a problem:

• Attitude Aim to adopt a positive, optimistic attitude to the problem and problem-solving process.
• Define Obtain all required facts and details of potential obstacles to define the problem.
• Alternatives Identify various alternative solutions and actions to overcome the obstacle and achieve the problem-solving goal.
• Predict Predict each alternative’s positive and negative outcomes and choose the one most likely to achieve the goal and maximize the benefits.
• Try out Once selected, try out the solution and monitor its effectiveness while engaging in self-reinforcement.

If the client is not satisfied with their solution, they can return to step ‘A’ and find a more appropriate solution.

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Positive self-statements

When dealing with clients facing negative self-beliefs, it can be helpful for them to use positive self-statements.

Use the following (or add new) self-statements to replace harmful, negative thinking (modified from Dobson, 2011):

• I can solve this problem; I’ve tackled similar ones before.
• I can cope with this.
• I just need to take a breath and relax.
• Once I start, it will be easier.
• It’s okay to look out for myself.
• I can get help if needed.
• Other people feel the same way I do.
• I’ll take one piece of the problem at a time.
• I can keep my fears in check.
• I don’t need to please everyone.

5 Worksheets and workbooks

Problem-solving self-monitoring form.

Answering the questions in the Problem-Solving Self-Monitoring Form provides the therapist with necessary information regarding the client’s overall and specific problem-solving approaches and reactions (Dobson, 2011).

Ask the client to complete the following:

• Describe the problem you are facing.
• What is your goal?
• What have you tried so far to solve the problem?
• What was the outcome?

Reactions to Stress

It can be helpful for the client to recognize their own experiences of stress. Do they react angrily, withdraw, or give up (Dobson, 2011)?

The Reactions to Stress worksheet can be given to the client as homework to capture stressful events and their reactions. By recording how they felt, behaved, and thought, they can recognize repeating patterns.

What Are Your Unique Triggers?

Helping clients capture triggers for their stressful reactions can encourage emotional regulation.

When clients can identify triggers that may lead to a negative response, they can stop the experience or slow down their emotional reaction (Dobson, 2011).

The What Are Your Unique Triggers ? worksheet helps the client identify their triggers (e.g., conflict, relationships, physical environment, etc.).

Problem-Solving worksheet

Imagining an existing or potential problem and working through how to resolve it can be a powerful exercise for the client.

Use the Problem-Solving worksheet to state a problem and goal and consider the obstacles in the way. Then explore options for achieving the goal, along with their pros and cons, to assess the best action plan.

Getting the Facts

Clients can become better equipped to tackle problems and choose the right course of action by recognizing facts versus assumptions and gathering all the necessary information (Dobson, 2011).

Use the Getting the Facts worksheet to answer the following questions clearly and unambiguously:

• Who is involved?
• What did or did not happen, and how did it bother you?
• Where did it happen?
• When did it happen?
• Why did it happen?
• How did you respond?

2 Helpful Group Activities

While therapists can use the worksheets above in group situations, the following two interventions work particularly well with more than one person.

Generating Alternative Solutions and Better Decision-Making

A group setting can provide an ideal opportunity to share a problem and identify potential solutions arising from multiple perspectives.

Use the Generating Alternative Solutions and Better Decision-Making worksheet and ask the client to explain the situation or problem to the group and the obstacles in the way.

Once the approaches are captured and reviewed, the individual can share their decision-making process with the group if they want further feedback.

Visualization

Visualization can be performed with individuals or in a group setting to help clients solve problems in multiple ways, including (Dobson, 2011):

• Clarifying the problem by looking at it from multiple perspectives
• Rehearsing a solution in the mind to improve and get more practice
• Visualizing a ‘safe place’ for relaxation, slowing down, and stress management

Guided imagery is particularly valuable for encouraging the group to take a ‘mental vacation’ and let go of stress.

Ask the group to begin with slow, deep breathing that fills the entire diaphragm. Then ask them to visualize a favorite scene (real or imagined) that makes them feel relaxed, perhaps beside a gently flowing river, a summer meadow, or at the beach.

The more the senses are engaged, the more real the experience. Ask the group to think about what they can hear, see, touch, smell, and even taste.

Encourage them to experience the situation as fully as possible, immersing themselves and enjoying their place of safety.

Such feelings of relaxation may be able to help clients fall asleep, relieve stress, and become more ready to solve problems.

We have included three of our favorite books on the subject of Problem-Solving Therapy below.

1. Problem-Solving Therapy: A Treatment Manual – Arthur Nezu, Christine Maguth Nezu, and Thomas D’Zurilla

This is an incredibly valuable book for anyone wishing to understand the principles and practice behind PST.

Written by the co-developers of PST, the manual provides powerful toolkits to overcome cognitive overload, emotional dysregulation, and the barriers to practical problem-solving.

Find the book on Amazon .

2. Emotion-Centered Problem-Solving Therapy: Treatment Guidelines – Arthur Nezu and Christine Maguth Nezu

Another, more recent, book from the creators of PST, this text includes important advances in neuroscience underpinning the role of emotion in behavioral treatment.

Along with clinical examples, the book also includes crucial toolkits that form part of a stepped model for the application of PST.

3. Handbook of Cognitive-Behavioral Therapies – Keith Dobson and David Dozois

This is the fourth edition of a hugely popular guide to Cognitive-Behavioral Therapies and includes a valuable and insightful section on Problem-Solving Therapy.

This is an important book for students and more experienced therapists wishing to form a high-level and in-depth understanding of the tools and techniques available to Cognitive-Behavioral Therapists.

For even more tools to help strengthen your clients’ problem-solving skills, check out the following free worksheets from our blog.

• Case Formulation Worksheet This worksheet presents a four-step framework to help therapists and their clients come to a shared understanding of the client’s presenting problem.
• Understanding Your Default Problem-Solving Approach This worksheet poses a series of questions helping clients reflect on their typical cognitive, emotional, and behavioral responses to problems.
• Social Problem Solving: Step by Step This worksheet presents a streamlined template to help clients define a problem, generate possible courses of action, and evaluate the effectiveness of an implemented solution.

If you’re looking for more science-based ways to help others enhance their wellbeing, check out this signature collection of 17 validated positive psychology tools for practitioners. Use them to help others flourish and thrive.

17 Top-Rated Positive Psychology Exercises for Practitioners

Expand your arsenal and impact with these 17 Positive Psychology Exercises [PDF] , scientifically designed to promote human flourishing, meaning, and wellbeing.

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While we are born problem-solvers, facing an incredibly diverse set of challenges daily, we sometimes need support.

Problem-Solving Therapy aims to reduce stress and associated mental health disorders and improve wellbeing by improving our ability to cope. PST is valuable in diverse clinical settings, ranging from depression to schizophrenia, with research suggesting it as a highly effective treatment for teaching coping strategies and reducing emotional distress.

Many PST techniques are available to help improve clients’ positive outlook on obstacles while reducing avoidance of problem situations and the tendency to be careless and impulsive.

The PST model typically assesses the client’s strengths, weaknesses, and coping strategies when facing problems before encouraging a healthy experience of and relationship with problem-solving.

Why not use this article to explore the theory behind PST and try out some of our powerful tools and interventions with your clients to help them with their decision-making, coping, and problem-solving?

We hope you enjoyed reading this article. Don’t forget to download our three Positive Psychology Exercises for free .

• Cuijpers, P., Wit, L., Kleiboer, A., Karyotaki, E., & Ebert, D. (2020). Problem-solving therapy for adult depression: An updated meta-analysis. European P sychiatry ,  48 (1), 27–37.
• Dobson, K. S. (2011). Handbook of cognitive-behavioral therapies (3rd ed.). Guilford Press.
• Dobson, K. S., & Dozois, D. J. A. (2021). Handbook of cognitive-behavioral therapies  (4th ed.). Guilford Press.
• Eysenck, M. W., & Keane, M. T. (2015). Cognitive psychology: A student’s handbook . Psychology Press.
• Nezu, A. M., & Nezu, C. M. (2009). Problem-solving therapy DVD . Retrieved September 13, 2021, from https://www.apa.org/pubs/videos/4310852
• Nezu, A. M., & Nezu, C. M. (2018). Emotion-centered problem-solving therapy: Treatment guidelines. Springer.
• Nezu, A. M., Nezu, C. M., & D’Zurilla, T. J. (2013). Problem-solving therapy: A treatment manual . Springer.

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What Does 'Cognitive' Mean in Psychology?

How People Think and What's Involved in Cognitive Processes

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Daniel B. Block, MD, is an award-winning, board-certified psychiatrist who operates a private practice in Pennsylvania.

Verywell / Laura Porter

• Improving Cognitive Skills

Frequently Asked Questions

'Cognitive' is a term used in psychology to describe anything related to thinking, learning, and understanding. So when you hear people talk about cognitive skills or processes, they are referring to different aspects of how the brain works—things like remembering information, learning new things, paying attention, and processing all of the information you encounter each day. 

Cognitive abilities are something you use each and every day. For example, when you are learning a new instrument, you are using your cognitive skills to learn the basics of music theory, pick up melodies, learn the notes, and put that information together to produce music.

'Cognitive' refers to the mental processes involved in gaining knowledge and comprehension. Some of the many different cognitive processes include thinking, knowing, remembering, judging, and problem-solving .

These are higher-level brain functions that encompass language, imagination, perception, and planning. Cognitive psychology is the field of psychology that investigates how people think and the processes involved in cognition. 

At a Glance

Cognitive psychology seeks to understand all of the mental processes involved in human thought and behavior. It focuses on cognitive processes such as decision-making, problem-solving, attention, memory, learning, and more. Keep reading to learn more about different types of cognitive processes, factors that can affect cognition, and the different uses for these cognitive processes.

Types of Cognitive Processes

There are many different types of cognitive processes. They include:

Attention is a cognitive process that allows people to focus on a specific environmental stimulus. Attention is an important cognitive ability because it allows us to focus on the information we need, while also filtering out irrelevant distractions.

Language and language development are cognitive processes that involve the ability to understand and express thoughts through spoken and written words. This allows us to communicate with others, including conveying our own thoughts and learning about others. It also plays an important role in thought.

Learning requires cognitive processes involved in taking in new things, synthesizing information, and integrating it with prior knowledge. Cognitive psychologists often study the mental processes that involved in processing, comprehending, and remembering information.

Memory is an important cognitive process that allows people to encode, store, and retrieve information. It is a critical component in the learning process and allows people to retain knowledge about the world and their personal histories.

Perception is a cognitive process that allows people to take in information through their senses, then utilize this information to respond and interact with the world.

Thought is an essential part of every cognitive process. It allows people to engage in decision-making , problem-solving, and higher reasoning.

Hot Cognition vs. Cold Cognition

Some split cognition into two categories: hot and cold. Hot cognition refers to mental processes in which emotion plays a role, such as reward-based learning . Conversely, cold cognition refers to mental processes that don't involve feelings or emotions, such as working memory .

What is an example of cognition?

Cognition includes all of the conscious and unconscious processes involved in thinking, perceiving, and reasoning. Examples of cognition include paying attention to something in the environment, learning something new, making decisions, processing language, sensing and perceiving environmental stimuli, solving problems, and using memory. 

History of the Study of Cognition

The study of how humans think dates back to the time of ancient Greek philosophers Plato and Aristotle.

Philosophical Origins

Plato's approach to the study of the mind suggested that people understand the world by first identifying basic principles buried deep inside themselves, then using rational thought to create knowledge. This viewpoint was later advocated by philosophers such as Rene Descartes and linguist Noam Chomsky. It is often referred to as rationalism.

Aristotle, on the other hand, believed that people acquire knowledge through their observations of the world around them. Later thinkers such as John Locke and B.F. Skinner also advocated this point of view, which is often referred to as empiricism.

Early Psychology

During the earliest days of psychology—and for the first half of the 20th century—psychology was largely dominated by psychoanalysis , behaviorism , and humanism .

Eventually, a formal field of study devoted solely to the study of cognition emerged as part of the "cognitive revolution" of the 1960s. This field is known as cognitive psychology.

The Emergence of Cognitive Psychology

One of the earliest definitions of cognition was presented in the first textbook on cognitive psychology, which was published in 1967. According to Ulric Neisser, a psychologist and the book's author, cognition is "those processes by which the sensory input is transformed, reduced, elaborated, stored, recovered, and used."

What Can Affect Cognitive Processes?

It is important to remember that these cognitive processes are complex and often imperfect. Some of the factors that can affect or influence cognition include:

Research indicates that as we age, our cognitive function tends to decline. Age-related cognitive changes include processing things more slowly, finding it harder to recall past events, and a failure to remember information that was once known (such as how to solve a particular math equation or historical information).

Attention Issues

Selective attention is a limited resource, so there are a number of things that can make it difficult to focus on everything in your environment. Attentional blink , for example, happens when you are so focused on one thing that you completely miss something else happening right in front of you.

Cognitive Biases

Cognitive biases are systematic errors in thinking related to how people process and interpret information about the world. Confirmation bias is one common example that involves only paying attention to information that aligns with your existing beliefs while ignoring evidence that doesn't support your views. 

Some studies have connected cognitive function with certain genes. For example, a 2020 study published in Brain Communications found that a person's level of brain-derived neurotrophic factor (BDNF), which is 30% determined by heritability, can impact the rate of brain neurodegeneration, a condition that ultimately impacts cognitive function.

Memory Limitations

Short-term memory is surprisingly brief, typically lasting just 20 to 30 seconds, whereas long-term memory can be stable and enduring, with memories lasting years and even decades. Memory can also be fragile and fallible. Sometimes we forget and other times we are subject to misinformation effects that may even lead to the formation of false memories .

Uses for Cognitive Processes

Cognitive processes affect every aspect of life, from school to work to relationships. Some specific uses for these processes include the following.

Learning New Things

Learning requires being able to take in new information, form new memories, and make connections with other things that you already know. Researchers and educators use their knowledge of these cognitive processes to create instructive materials to help people learn new concepts .

Forming Memories

Memory is a major topic of interest in the field of cognitive psychology. How we remember, what we remember, and what we forget reveal a great deal about how cognitive processes operate.

While people often think of memory as being much like a video camera—carefully recording, cataloging, and storing life events away for later recall—research has found that memory is much more complex.

Making Decisions

Whenever people make any type of a decision, it involves making judgments about things they have processed. This might involve comparing new information to prior knowledge, integrating new information into existing ideas, or even replacing old knowledge with new knowledge before making a choice.

Impact of Cognition

Our cognitive processes have a wide-ranging impact that influences everything from our daily life to our overall health.

Perceiving the World

As you take in sensations from the world around you, the information that you see, hear, taste, touch, and smell must first be transformed into signals that the brain can understand. The perceptual process allows you to take in this sensory information and convert it into a signal that your brain can recognize and act upon.

Forming Impressions

The world is full of an endless number of sensory experiences . To make meaning out of all this incoming information, it is important for the brain to be able to capture the fundamentals. Events are reduced to only the critical concepts and ideas that we need.

Filling in the Gaps

In addition to reducing information to make it more memorable and understandable, people also elaborate on these memories as they reconstruct them. In some cases, this elaboration happens when people are struggling to remember something . When the information cannot be recalled, the brain sometimes fills in the missing data with whatever seems to fit.

Interacting With the World

Cognition involves not only the things that go on inside our heads but also how these thoughts and mental processes influence our actions. Our attention to the world around us, memories of past events, understanding of language, judgments about how the world works, and abilities to solve problems all contribute to how we behave and interact with our surrounding environment.

Tips for Improving Cognitive Skills

Cognitive processes are influenced by a range of factors, including genetics and experiences. While you cannot change your genes or age, there are things that you can do to protect and maximize your cognitive abilities:

• Stay healthy . Lifestyle factors such as eating a nutritious diet and getting regular exercise can have a positive effect on cognitive functioning.  
• Think critically . Question your assumptions and ask questions about your thoughts, beliefs, and conclusions.
• Stay curious and keep learning . A great way to flex your cognitive abilities is to keep challenging yourself to learn more about the world.
• Skip multitasking . While it might seem like doing several things at once would help you get done faster, research has shown it actually decreases both productivity and work quality.

In psychology, the term 'cognitive' refers to all of the different mental events involved in thinking, learning, and comprehending. Cognitive processes such as learning, attention, perception, and memory are important parts of the human experience. Understanding how they function can provide insight into normal human thought and behavior and how different cognitive conditions might create problems and impairments. 

Thinking is an important component, but cognition also encompasses unconscious and perceptual processes as well. In addition to thinking, cognition involves language, attention, learning, memory, and perception.

People utilize cognitive skills to think, learn, recall, and reason. Five important cognitive skills include short-term memory, logic, processing speed, attention, and spatial recognition.

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Li S, Weinstein G, Zare H, et al. The genetics of circulating BDNF: Towards understanding the role of BDNF in brain structure and function in middle and old ages . Brain Commun . 2020;2(2):fcaa176. doi:10.1093/braincomms/fcaa176

Weinsten Y. How long is short-term memory: Shorter than you might think . Duke Undergraduate Education.

Leding J, Antonio L. Need for cognition and discrepancy detection in the misinformation effect . J Cognitive Psychol . 2019;31(4):409-415. doi:10.1080/20445911.2019.1626400

Scheiter K, Schubert C, Schuler A. Self-regulated learning from illustrated text: Eye movement modelling to support use and regulation of cognitive processes during learning from multimedia . Brit J Educ Psychol . 2017;88(1):80-94. doi:10.1111/bjep.12175

Toppi J, Astolfi L, Risetti M, et al. Different topological properties of EEG-derived networks describe working memory phases as revealed by graph theoretical analysis . Front Hum Neurosci . 2018;11:637. doi:10.3389/fnhum.2017.00637

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By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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9 cognitive skill examples and how to improve them

Jump to section

What are cognitive skills?

Cognitive development

Types of cognitive skills.

What are examples of cognitive skills at work?

How to improve your cognitive skills

Stay focused.

Out of the blue, your team leader drops a curveball: the team is adopting a new project management app and updating work performance standards. 

Such an abrupt shift pushes your most basic cognitive skills into action. You diligently listen to your manager's instructions, process the influx of new information, and use logic to understand it all.

Normally, your thinking skills operate in the background, quietly supporting your daily work. But moments like this emphasize the incredible potential of your brain and the importance of honing your cognitive abilities.

Of course, some abilities — such as reasoning, visual learning, and listening — may come more naturally than others. Don’t worry: like any skill, you can grow and develop your brain power.

Prepare to unlock the full potential of your mind . Let's explore examples of cognitive skills and discover practical ways to elevate them in the workplace.

What are cognitive skills? 

The definition of cognitive skills encompasses your brain's remarkable capacity to process, store, and utilize information . These include abilities such as concentration , memory , and problem-solving.

Your cognitive skills operate subtly yet significantly, shaping your social interactions, learning processes, and ability to complete tasks successfully.

Say you meet a potential client at a networking event. Your brain effortlessly processes various pieces of information, from nonverbal social cues (like gestures ) to your elevator pitch . In this scenario, your adaptability is the defining factor between a successful and unsuccessful connection.

Cognitive development begins in infancy and early childhood and continues throughout your life. Your brain learns and grows as you age — a process called neuroplasticity . The more you train your mind through goal-setting and skill learning, the sharper your brain becomes. 

Research suggests the greater your cognitive ability, the better your performance . But there’s a caveat: your cognitive skills don’t operate in a vacuum. Self-discipline and planning also play a strong role in your ability to access and improve these abilities.

Although you may lean toward certain skills — perhaps your auditory processing is stronger than your visual learning — you can improve in any area with thoughtful practice and goal-setting .

Remember: your cognitive skills define your capacity for processing incoming information, building memories, and interpreting stimuli. Before jumping into cognitive skills to fine-tune, let’s explore eight different types of cognitive skills and their daily applications:  

Attention abilities

The world is full of stimuli. With so many distractions, it’s important to build up your ability to keep your focus. 

Your attention span is divided into three categories: 

• Sustained attention: This is your ability to focus and concentrate your thought processes over an extended period of time. You’ve likely been in a meeting or call where your mind started to wander — that was your sustained attention clocking off. But when you let distractions get the best of you, you might procrastinate , take exc essive time to complete tasks, or lose out on important information. 
• Selective attention : When various stimuli battle for your attention, your selective attention helps you suppress distractions and stay on task. Giving into distractions pushes your workflow off course and disrupts your productivity.  
• Divided attention : When you’re working on a project, you often have constructive feedback from your manager, requests from your client, and the scope of work to consider. Your divided attention allows you to take in all this information and find the right path forward. Without it, you might become overwhelmed and struggle to chart a course of action.

Memory skills

At work, building your memory helps ensure that information doesn't go in one ear and out the other. These are the two types of memories to polish: 

• Working memory : Sometimes referred to as your short-term memory, working memory allows you to hold on to information while you use it. Imagine a virtual onboarding with a new project management app: your working memory allows you to process instructions as you work through the platform. Weak working memory can cost you time. You might re-read directions, forget what someone just told you, or have difficulty following step-by-step instructions.
• Long-term memory : Long-term memories are the procedures, facts, and experiences you use to interact with your environment and learn new skills . Your long-term memory guides your professional development as you build upon your knowledge and expertise. Without a sharp long-term memory, you may struggle to fine-tune important technical skills or build relationships impo rtant to your career. 

Information processing skills

Pings on your phone, numbers on a chart, and the inflection of a coworker's voice all signal different messages. Here are three ways your brain processes information: 

• Auditory processing: Noise is identified, analyzed, and separated by your auditory processing abilities. Auditory processing disorder is a common cognitive disorder that impacts your ability to listen to speech with background noise, follow spoken instructions, or learn new languages. 
• Visual processing: This is your ability to perceive, analyze, and synthesize visual patterns — as well as form visual imagery and memory. It’s not uncommon to struggle with visual pro cessing, which can make pattern recognition in math and written instructions difficult. Fortunately, this can often be improved with a vision therapist . 
• Processing speed: This is the time required to respond to and process information from your environment. Low processing speeds can cause you to take longer to complete tasks — especially under pressure — which throws off your efficiency and workflow.

What are examples of cognitive skills at work? 

Ready to level up your performance? Here are nine examples of cognitive skills to work on to strengthen your professional development:

1. Logic and reasoning 

The ability to draw specific conclusions based on varied facts or data is your deductive reasoning. Even mundane tasks, like organizing your calendar, require strong logic and problem-solving skills. Deductive reasoning also helps you gauge importance, estimate work times, and set realistic goals. Without these logical thinking skills, you would struggle to work productively. 

2. Language

Language is divided into four skills: reading, writing, listening, and speaking. Every person is different — you may be an excellent writer but struggle with verbally expressing your ideas. However, clearly communicating your ideas is valuable in just about any role. Strong language skills can help you overcome miscommunications, resolve conflict, and encourage teamwork.  

3. Critical thinking

Critical thinking is a union of several soft skills , including attention to detail, intellectual curiosity , and open-mindedness. These traits are integral to problem-solving because they help you work through biases and arrive at independent, out-of-the-box solutions . That’s likely why critical thinking is considered one of the most durable skills in the workplace . 

4. Planning

Your day-to-day is full of short-term tasks and long-term objectives. Without proper planning, you could become disorganized or miss important deadlines. Planning requires logic and memory recall — these skills allow you to estimate a task's relevance and how long it should take to complete. Learning to organize and prioritize your tasks empowers you to be efficient, responsible, and proactive.

5. Quantitative skills

An understanding of statistics and math helps you turn ideas into data and eliminate emotional biases from important decisions. Data analysis is an increasingly important hard skill to have on your resume .

And as artificial intelligence and big data can contribute to businesses project growth and calculate risk, learning quantitative tools might help you stay competitive in the job market. Similarly, if you’re a freelancer building a personal brand , being able to read analytics allows you to engage wider audiences and find opportunities in your market. 

6. Networking

Making the right first impression is a science. It requires you to pay attention to social cues and process several visual and auditory stimuli from the person you’re networking with. Practicing active listening trains your brain to sustain its focus and pick up on information that will lead to positive and productive professional interactions. 

In the digital age, we work with more emails, project management tools, and messenger apps than ever before. While you don’t have to aspire to be a copywriting master, learning to organize your thoughts and contextualize them for your readers can reduce miscommunications. And when someone understands a message immediately, it saves you and your colleagues time that you can dedicate to more important tasks. 

8. Reading comprehension

Reading requires you to connect ideas, sustain your focus, and recall past experiences or know-how to de-code information. Similar to writing, analyzing and contextualizing information can help you avoid misunderstandings and improve your productivity. Reading comprehension is important in any job, particularly remote jobs that depend heavily on written communication. 

9. Collaboration

While collaboration may sound more like a social skill than a cognitive function, efficient teamwork requires abstract thinking. These skills help you break a project down into different tasks, leverage everyone’s strengths, and keep on top of all your team members’ deliverables. 

Inspired to level up your cognitive capacities? Here are four ways to take care of your brain: 

1. Stay healthy

Your physical and mental health are intimately connected to one another. Besides working up a sweat, physical exercise builds new neurons and stimulates memory by increasing blood flow to the brain. 

Consider developing a routine to get your 150 minutes of recommended weekly exercise , like an after work swim, joining a jogging club, or hiring a personal trainer. Similarly, a firm sleep schedule , staying hydrated , and good nutrition are complimentary habits that contribute to better brain health. 

2. Practice focusing

Repetition leads to success, which also applies to strengthening your focus. Methods like the Pomodoro Technique and concentration-based apps are great ways to build self-awareness and discover how you can stay on track.

Learning task management methods (like the Eisenhower Matrix) , adopting work productivity tools, or occasional digital detoxes are more ways to prioritize your focus. Find what works for you and practice until it becomes a habit. This prolonged ability to concentrate will strengthen your overall cognitive abilities.  

3. Reduce your stress

Worry activates your fight or flight response , which can cause mental fatigue and poor sleep. Acute stress or anxiety can often be improved by developing regular self-care practices, such as meditation , yoga, and deep breathing. 

Chronic stress is a more serious mental health risk with serious implications on your short term wellness and long-term cognitive health. Mental health professionals can help you identify the root cause of your stress and provide you with the tools and resources to ease your mind.

4. Train your brain

Your brain is like any other muscle in your body — to keep it in peak condition, you need to work it out. Incorporate some mental activities into your free time , such as reading before bed, playing chess on your lunch break, or following a serial podcast during your daily commute. You ca n also try memory or reasoning games to sharpen your cognitive skills in fun and practical ways. Even two minutes a day dedicated to self-improvement can grow your skills. 

Your brain is working even when you aren’t. But even though many of your cognitive skills are firing off in the background, you can still work to actively sharpen your abilities. 

The next time you’re tackling a new task, pay close attention to your focus. How easily do you succumb to distractions? Do you respond better to visual or auditory learning? Once you understand your strengths and acknowledge your weaknesses, you can incorporate techniques to improve. 

Eventually, you won’t have to focus so much on focusing. And the next time your coworker comes at you with a curveball, you’ll have the resources and know-how to take the change in stride. 

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Elizabeth Perry, ACC

Elizabeth Perry is a Coach Community Manager at BetterUp. She uses strategic engagement strategies to cultivate a learning community across a global network of Coaches through in-person and virtual experiences, technology-enabled platforms, and strategic coaching industry partnerships. With over 3 years of coaching experience and a certification in transformative leadership and life coaching from Sofia University, Elizabeth leverages transpersonal psychology expertise to help coaches and clients gain awareness of their behavioral and thought patterns, discover their purpose and passions, and elevate their potential. She is a lifelong student of psychology, personal growth, and human potential as well as an ICF-certified ACC transpersonal life and leadership Coach.

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Cognitive Development Theory: What Are the Stages?

Sensorimotor stage, preoperational stage, concrete operational stage, formal operational stage.

Cognitive development is the process by which we come to acquire, understand, organize, and learn to use information in various ways. Cognitive development helps a child obtain the skills needed to live a productive life and function as an independent adult.

The late Swiss psychologist Jean Piaget was a major figure in the study of cognitive development theory in children. He believed that it occurs in four stages—sensorimotor, preoperational, concrete operational, and formal operational.

This article discusses Piaget’s stages of cognitive development, including important concepts and principles.

FatCamera / Getty Images

History of Cognitive Development

During the 1920s, the psychologist Jean Piaget was given the task of translating English intelligence tests into French. During this process, he observed that children think differently than adults do and have a different view of the world. He began to study children from birth through the teenage years—observing children who were too young to talk, and interviewing older children while he also observed their development.

Piaget published his theory of cognitive development in 1936. This theory is based on the idea that a child’s intelligence changes throughout childhood and cognitive skills—including memory, attention, thinking, problem-solving, logical reasoning, reading, listening, and more—are learned as a child grows and interacts with their environment.

Stages of Cognitive Development

Piaget’s theory suggests that cognitive development occurs in four stages as a child ages. These stages are always completed in order, but last longer for some children than others. Each stage builds on the skills learned in the previous stage.

The four stages of cognitive development include:

• Sensorimotor
• Preoperational
• Concrete operational
• Formal operational

The sensorimotor stage begins at birth and lasts until 18 to 24 months of age. During the sensorimotor stage, children are physically exploring their environment and absorbing information through their senses of smell, sight, touch, taste, and sound.

The most important skill gained in the sensorimotor stage is object permanence, which means that the child knows that an object still exists even when they can't see it anymore. For example, if a toy is covered up by a blanket, the child will know the toy is still there and will look for it. Without this skill, the child thinks that the toy has simply disappeared.

Language skills also begin to develop during the sensorimotor stage.

Activities to Try During the Sensorimotor Stage

Appropriate activities to do during the sensorimotor stage include:

• Playing peek-a-boo
• Reading books
• Providing toys with a variety of textures
• Singing songs
• Playing with musical instruments
• Rolling a ball back and forth

The preoperational stage of Piaget's theory of cognitive development occurs between ages 2 and 7 years. Early on in this stage, children learn the skill of symbolic representation. This means that an object or word can stand for something else. For example, a child might play "house" with a cardboard box.

At this stage, children assume that other people see the world and experience emotions the same way they do, and their main focus is on themselves. This is called egocentrism .

Centrism is another characteristic of the preoperational stage. This means that a child is only able to focus on one aspect of a problem or situation. For example, a child might become upset that a friend has more pieces of candy than they do, even if their pieces are bigger.

During this stage, children will often play next to each other—called parallel play—but not with each other. They also believe that inanimate objects, such as toys, have human lives and feelings.

Activities to Try During the Preoperational Stage

Appropriate activities to do during the preoperational stage include:

• Playing "house" or "school"
• Building a fort
• Playing with Play-Doh
• Building with blocks
• Playing charades

The concrete operational stage occurs between the ages of 7 and 11 years. During this stage, a child develops the ability to think logically and problem-solve but can only apply these skills to objects they can physically see—things that are "concrete."

Six main concrete operations develop in this stage. These include:

• Conservation : This skill means that a child understands that the amount of something or the number of a particular object stays the same, even when it looks different. For example, a cup of milk in a tall glass looks different than the same amount of milk in a short glass—but the amount did not change.
• Classification : This skill is the ability to sort items by specific classes, such as color, shape, or size.
• Seriation : This skill involves arranging objects in a series, or a logical order. For example, the child could arrange blocks in order from smallest to largest.
• Reversibility : This skill is the understanding that a process can be reversed. For example, a balloon can be blown up with air and then deflated back to the way it started.
• Decentering : This skill allows a child to focus on more than one aspect of a problem or situation at the same time. For example, two candy bars might look the same on the outside, but the child knows that they have different flavors on the inside.
• Transitivity : This skill provides an understanding of how things relate to each other. For example, if John is older than Susan, and Susan is older than Joey, then John is older than Joey.

Activities to Try During the Concrete Operational Stage

Appropriate activities to do during the concrete operational stage include:

• Using measuring cups (for example, demonstrate how one cup of water fills two half-cups)
• Solving simple logic problems
• Practicing basic math
• Doing crossword puzzles
• Playing board games

The last stage in Piaget's theory of cognitive development occurs during the teenage years into adulthood. During this stage, a person learns abstract thinking and hypothetical problem-solving skills.

Deductive reasoning—or the ability to make a conclusion based on information gained from a person's environment—is also learned in this stage. This means, for example, that a person can identify the differences between dogs of various breeds, instead of putting them all in a general category of "dogs."

Activities to Try During the Formal Operational Stage

Appropriate activities to do during the formal operational stage include:

• Learning to cook
• Solving crossword and logic puzzles
• Exploring hobbies
• Playing a musical instrument

Piaget's theory of cognitive development is based on the belief that a child gains thinking skills in four stages: sensorimotor, preoperational, concrete operational, and formal operational. These stages roughly correspond to specific ages, from birth to adulthood. Children progress through these stages at different paces, but according to Piaget, they are always completed in order.

National Library of Medicine. Cognitive testing . MedlinePlus.

Oklahoma State University. Cognitive development: The theory of Jean Piaget .

SUNY Cortland. Sensorimotor stage .

Marwaha S, Goswami M, Vashist B. Prevalence of principles of Piaget’s theory among 4-7-year-old children and their correlation with IQ . J Clin Diagn Res. 2017;11(8):ZC111-ZC115. doi:10.7860%2FJCDR%2F2017%2F28435.10513

Börnert-Ringleb M, Wilbert J. The association of strategy use and concrete-operational thinking in primary school . Front Educ. 2018;0. doi:10.3389/feduc.2018.00038

By Aubrey Bailey, PT, DPT, CHT Dr, Bailey is a Virginia-based physical therapist and professor of anatomy and physiology with over a decade of experience.

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Child cognitive development is a fascinating and complex process that entails the growth of a child’s mental abilities, including their ability to think, learn, and solve problems. This development occurs through a series of stages that can vary among individuals. As children progress through these stages, their cognitive abilities and skills are continuously shaped by a myriad of factors such as genetics, environment, and experiences. Understanding the nuances of child cognitive development is essential for parents, educators, and professionals alike, as it provides valuable insight into supporting the growth of the child’s intellect and overall well-being.

Throughout the developmental process, language and communication play a vital role in fostering a child’s cognitive abilities . As children acquire language skills, they also develop their capacity for abstract thought, reasoning, and problem-solving. It is crucial for parents and caregivers to be mindful of potential developmental delays, as early intervention can greatly benefit the child’s cognitive development. By providing stimulating environments, nurturing relationships, and embracing diverse learning opportunities, adults can actively foster healthy cognitive development in children.

Key Takeaways

• Child cognitive development involves the growth of mental abilities and occurs through various stages.
• Language and communication are significant factors in cognitive development , shaping a child’s ability for abstract thought and problem-solving.
• Early intervention and supportive environments can play a crucial role in fostering healthy cognitive development in children.

Child Cognitive Development Stages

Child cognitive development is a crucial aspect of a child’s growth and involves the progression of their thinking, learning, and problem-solving abilities. Swiss psychologist Jean Piaget developed a widely recognized theory that identifies four major stages of cognitive development in children.

Sensorimotor Stage

The Sensorimotor Stage occurs from birth to about 2 years old. During this stage, infants and newborns learn to coordinate their senses (sight, sound, touch, etc.) with their motor abilities. Their understanding of the world begins to develop through their physical interactions and experiences. Some key milestones in this stage include object permanence, which is the understanding that an object still exists even when it’s not visible, and the development of intentional actions.

Preoperational Stage

The Preoperational Stage takes place between the ages of 2 and 7 years old. In this stage, children start to think symbolically, and their language capabilities rapidly expand. They also develop the ability to use mental images, words, and gestures to represent the world around them. However, their thinking is largely egocentric, which means they struggle to see things from other people’s perspectives. During this stage, children start to engage in pretend play and begin to grasp the concept of conservation, recognizing that certain properties of objects (such as quantity or volume) remain the same even if their appearance changes.

Concrete Operational Stage

The Concrete Operational Stage occurs between the ages of 7 and 12 years old. At this stage, children’s cognitive development progresses to more logical and organized ways of thinking. They can now consider multiple aspects of a problem and better understand the relationship between cause and effect . Furthermore, children become more adept at understanding other people’s viewpoints, and they can perform basic mathematical operations and understand the principles of classification and seriation.

Formal Operational Stage

Lastly, the Formal Operational Stage typically begins around 12 years old and extends into adulthood. In this stage, children develop the capacity for abstract thinking and can consider hypothetical situations and complex reasoning. They can also perform advanced problem-solving and engage in systematic scientific inquiry. This stage allows individuals to think about abstract concepts, their own thought processes, and understand the world in deeper, more nuanced ways.

By understanding these stages of cognitive development, you can better appreciate the complex growth process that children undergo as their cognitive abilities transform and expand throughout their childhood.

Key Factors in Cognitive Development

Genetics and brain development.

Genetics play a crucial role in determining a child’s cognitive development. A child’s brain development is heavily influenced by genetic factors, which also determine their cognitive potential , abilities, and skills. It is important to understand that a child’s genes do not solely dictate their cognitive development – various environmental and experiential factors contribute to shaping their cognitive abilities as they grow and learn.

Environmental Influences

The environment in which a child grows up has a significant impact on their cognitive development. Exposure to various experiences is essential for a child to develop essential cognitive skills such as problem-solving, communication, and critical thinking. Factors that can have a negative impact on cognitive development include exposure to toxins, extreme stress, trauma, abuse, and addiction issues, such as alcoholism in the family.

Nutrition and Health

Maintaining good nutrition and health is vital for a child’s cognitive development. Adequate nutrition is essential for the proper growth and functioning of the brain . Key micronutrients that contribute to cognitive development include iron, zinc, and vitamins A, C, D, and B-complex vitamins. Additionally, a child’s overall health, including physical fitness and immunity, ensures they have the energy and resources to engage in learning activities and achieve cognitive milestones effectively .

Emotional and Social Factors

Emotional well-being and social relationships can also greatly impact a child’s cognitive development. A supportive, nurturing, and emotionally healthy environment allows children to focus on learning and building cognitive skills. Children’s emotions and stress levels can impact their ability to learn and process new information. Additionally, positive social interactions help children develop important cognitive skills such as empathy, communication, and collaboration.

In summary, cognitive development in children is influenced by various factors, including genetics, environmental influences, nutrition, health, and emotional and social factors. Considering these factors can help parents, educators, and policymakers create suitable environments and interventions for promoting optimal child development.

Language and Communication Development

Language skills and milestones.

Children’s language development is a crucial aspect of their cognitive growth. They begin to acquire language skills by listening and imitating sounds they hear from their environment. As they grow, they start to understand words and form simple sentences.

• Infants (0-12 months): Babbling, cooing, and imitating sounds are common during this stage. They can also identify their name by the end of their first year. Facial expressions play a vital role during this period, as babies learn to respond to emotions.
• Toddlers (1-3 years): They rapidly learn new words and form simple sentences. They engage more in spoken communication, constantly exploring their language environment.
• Preschoolers (3-5 years): Children expand their vocabulary, improve grammar, and begin participating in more complex conversations.

It’s essential to monitor children’s language development and inform their pediatrician if any delays or concerns arise.

Nonverbal Communication

Nonverbal communication contributes significantly to children’s cognitive development. They learn to interpret body language, facial expressions, and gestures long before they can speak. Examples of nonverbal communication in children include:

• Eye contact: Maintaining eye contact while interacting helps children understand emotions and enhances communication.
• Gestures: Pointing, waving goodbye, or using hand signs provide alternative ways for children to communicate their needs and feelings.
• Body language: Posture, body orientation, and movement give clues about a child’s emotions and intentions.

Teaching children to understand and use nonverbal communication supports their cognitive and social development.

Parent and Caregiver Interaction

Supportive interaction from parents and caregivers plays a crucial role in children’s language and communication development. These interactions can improve children’s language skills and overall cognitive abilities . Some ways parents and caregivers can foster language development are:

• Reading together: From an early age, reading books to children enhance their vocabulary and listening skills.
• Encouraging communication: Ask open-ended questions and engage them in conversations to build their speaking skills.
• Using rich vocabulary: Expose children to a variety of words and phrases, promoting language growth and understanding.

By actively engaging in children’s language and communication development, parents and caregivers can nurture cognitive, emotional, and social growth.

Cognitive Abilities and Skills

Cognitive abilities are the mental skills that children develop as they grow. These skills are essential for learning, adapting, and thriving in modern society. In this section, we will discuss various aspects of cognitive development, including reasoning and problem-solving, attention and memory, decision-making and executive function, as well as academic and cognitive milestones.

Reasoning and Problem Solving

Reasoning is the ability to think logically and make sense of the world around us. It’s essential for a child’s cognitive development, as it enables them to understand the concept of object permanence , recognize patterns, and classify objects. Problem-solving skills involve using these reasoning abilities to find solutions to challenges they encounter in daily life .

Children develop essential skills like:

• Logical reasoning : The ability to deduce conclusions from available information.
• Perception: Understanding how objects relate to one another in their environment.
• Schemes: Organizing thoughts and experiences into mental categories.

Attention and Memory

Attention refers to a child’s ability to focus on specific tasks, objects, or information, while memory involves retaining and recalling information. These cognitive abilities play a critical role in children’s learning and academic performance . Working memory is a vital component of learning, as it allows children to hold and manipulate information in their minds while solving problems and engaging with new tasks.

• Attention: Focuses on relevant tasks and information while ignoring distractions.
• Memory: Retains and retrieves information when needed.

Decision-Making and Executive Function

Decision-making is the process of making choices among various alternatives, while executive function refers to the higher-order cognitive processes that enable children to plan, organize, and adapt in complex situations. Executive function encompasses components such as:

• Inhibition: Self-control and the ability to resist impulses.
• Cognitive flexibility: Adapting to new information or changing circumstances.
• Planning: Setting goals and devising strategies to achieve them.

Academic and Cognitive Milestones

Children’s cognitive development is closely linked to their academic achievement. As they grow, they achieve milestones in various cognitive domains that form the foundation for their future learning. Some of these milestones include:

• Language skills: Developing vocabulary, grammar, and sentence structure.
• Reading and mathematics: Acquiring the ability to read and comprehend text, as well as understanding basic mathematical concepts and operations.
• Scientific thinking: Developing an understanding of cause-and-effect relationships and forming hypotheses.

Healthy cognitive development is essential for a child’s success in school and life. By understanding and supporting the development of their cognitive abilities, we can help children unlock their full potential and prepare them for a lifetime of learning and growth.

Developmental Delays and Early Intervention

Identifying developmental delays.

Developmental delays in children can be identified by monitoring their progress in reaching cognitive, linguistic, physical, and social milestones. Parents and caregivers should be aware of developmental milestones that are generally expected to be achieved by children at different ages, such as 2 months, 4 months, 6 months, 9 months, 18 months, 1 year, 2 years, 3 years, 4 years, and 5 years. Utilizing resources such as the “Learn the Signs. Act Early.” program can help parents and caregivers recognize signs of delay early in a child’s life.

Resources and Support for Parents

There are numerous resources available for parents and caregivers to find information on developmental milestones and to learn about potential developmental delays, including:

• Learn the Signs. Act Early : A CDC initiative that provides pdf checklists of milestones and resources for identifying delays.
• Parental support groups : Local and online communities dedicated to providing resources and fostering connections between families experiencing similar challenges.

Professional Evaluations and Intervention Strategies

If parents or caregivers suspect a developmental delay, it is crucial to consult with healthcare professionals or specialists who can conduct validated assessments of the child’s cognitive and developmental abilities. Early intervention strategies, such as the ones used in broad-based early intervention programs , have shown significant positive impacts on children with developmental delays to improve cognitive development and outcomes.

Professional evaluations may include:

• Pediatricians : Primary healthcare providers who can monitor a child’s development and recommend further assessments when needed.
• Speech and language therapists : Professionals who assist children with language and communication deficits.
• Occupational therapists : Experts in helping children develop or improve on physical and motor skills, as well as social and cognitive abilities.

Depending on the severity and nature of the delays, interventions may involve:

• Individualized support : Tailored programs or therapy sessions specifically developed for the child’s needs.
• Group sessions : Opportunities for children to learn from and interact with other children experiencing similar challenges.
• Family involvement : Parents and caregivers learning support strategies to help the child in their daily life.

Fostering Healthy Cognitive Development

Play and learning opportunities.

Encouraging play is crucial for fostering healthy cognitive development in children . Provide a variety of age-appropriate games, puzzles, and creative activities that engage their senses and stimulate curiosity. For example, introduce building blocks and math games for problem-solving skills, and crossword puzzles to improve vocabulary and reasoning abilities.

Playing with others also helps children develop social skills and better understand facial expressions and emotions. Provide opportunities for cooperative play, where kids can work together to achieve a common goal, and open-ended play with no specific rules to boost creativity.

Supportive Home Environment

A nurturing and secure home environment encourages healthy cognitive growth. Be responsive to your child’s needs and interests, involving them in everyday activities and providing positive reinforcement. Pay attention to their emotional well-being and create a space where they feel safe to ask questions and explore their surroundings.

Promoting Independence and Decision-Making

Support independence by allowing children to make decisions about their playtime, activities, and daily routines. Encourage them to take age-appropriate responsibilities and make choices that contribute to self-confidence and autonomy. Model problem-solving strategies and give them opportunities to practice these skills during play, while also guiding them when necessary.

Healthy Lifestyle Habits

Promote a well-rounded lifestyle, including:

• Sleep : Ensure children get adequate and quality sleep by establishing a consistent bedtime routine.
• Hydration : Teach the importance of staying hydrated by offering water frequently, especially during play and physical activities.
• Screen time : Limit exposure to electronic devices and promote alternative activities for toddlers and older kids.
• Physical activity : Encourage children to engage in active play and exercise to support neural development and overall health .

Frequently Asked Questions

What are the key stages of child cognitive development.

Child cognitive development can be divided into several key stages based on Piaget’s theory of cognitive development . These stages include the sensorimotor stage (birth to 2 years), preoperational stage (2-7 years), concrete operational stage (7-11 years), and formal operational stage (11 years and beyond). Every stage represents a unique period of cognitive growth, marked by the development of new skills, thought processes, and understanding of the world.

What factors influence cognitive development in children?

Several factors contribute to individual differences in child cognitive development, such as genetic and environmental factors. Socioeconomic status, access to quality education, early home environment, and parental involvement all play a significant role in determining cognitive growth. In addition, children’s exposure to diverse learning experiences, adequate nutrition, and mental health also influence overall cognitive performance .

How do cognitive skills vary during early childhood?

Cognitive skills in early childhood evolve as children progress through various stages . During the sensorimotor stage, infants develop fundamental skills such as object permanence. The preoperational stage is characterized by the development of symbolic thought, language, and imaginative play. Children then enter the concrete operational stage, acquiring the ability to think logically and solve problems. Finally, in the formal operational stage, children develop abstract reasoning abilities, complex problem-solving skills and metacognitive awareness.

What are common examples of cognitive development?

Examples of cognitive development include the acquisition of language and vocabulary, the development of problem-solving skills, and the ability to engage in logical reasoning. Additionally, memory, attention, and spatial awareness are essential aspects of cognitive development. Children may demonstrate these skills through activities like puzzle-solving, reading, and mathematics.

How do cognitive development theories explain children’s learning?

Piaget’s cognitive development theory suggests that children learn through active exploration, constructing knowledge based on their experiences and interactions with the world. In contrast, Vygotsky’s sociocultural theory emphasizes the role of social interaction and cultural context in learning. Both theories imply that cognitive development is a dynamic and evolving process, influenced by various environmental and psychological factors.

Why is it essential to support cognitive development in early childhood?

Supporting cognitive development in early childhood is critical because it lays a strong foundation for future academic achievement, social-emotional development, and lifelong learning. By providing children with diverse and enriching experiences, caregivers and educators can optimize cognitive growth and prepare children to face the challenges of today’s complex world. Fostering cognitive development early on helps children develop resilience, adaptability, and critical thinking skills essential for personal and professional success.

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7 tips to sharpen your brain easily

E nhancing your intellectual capabilities doesn't have to be a complex process. Here are seven simple yet effective tips to help sharpen your brain and boost your cognitive skills effortlessly:

1. EMBRACE LIFELONG LEARNING

Cultivate a habit of continuous learning. Challenge yourself with new subjects, skills, or hobbies to keep your brain active and engaged.

Reading books, taking online courses, or attending workshops are excellent ways to stimulate your mind and acquire fresh knowledge regularly.

The process of learning not only broadens your horizons but also encourages your brain to adapt and thrive.

2. PRIORITISE QUALITY SLEEP

Ensure you get enough restorative sleep. Quality sleep is essential for memory consolidation and overall cognitive function.

Establish a consistent sleep schedule, create a peaceful sleeping environment, and avoid caffeine or digital screens before bedtime.

A well-rested brain is more capable of processing information, problem-solving, and staying focused.

3. EXERCISE REGULARLY

Physical activity boosts blood flow to the brain, promoting the growth of new neurons and enhancing cognitive abilities.

Aim for regular workouts, which can include anything from brisk walking to more intense forms of exercise like swimming or yoga.

Exercise not only improves memory and thinking skills but also reduces the risk of cognitive decline as you age.

4. BALANCED DIET

Fuel your brain with a balanced diet rich in antioxidants, omega-3 fatty acids, and essential vitamins. These nutrients support brain health and cognitive function.

Include foods like blueberries, fatty fish, leafy greens, nuts, and whole grains in your diet.

Additionally, stay hydrated, as dehydration can impair your ability to concentrate and think clearly.

5. STAY MENTALLY ACTIVE

Engage in brain-teasing activities like puzzles, crosswords, chess, or brain-training apps to stimulate cognitive processes.

These activities challenge your brain's problem-solving abilities, memory, and logical thinking.

Dedicate a portion of your day to brain exercises, and you'll notice improved mental agility over time.

6. SOCIAL CONNECTIONS

Maintain social connections and engage in meaningful conversations. Interaction with others sharpens your communication and cognitive skills.

Join clubs or groups that align with your interests, attend social gatherings, and make an effort to connect with friends and family regularly.

Engaging in discussions and debates not only broadens your perspective but also hones your ability to articulate thoughts and ideas effectively.

7. STRESS MANAGEMENT

Develop effective stress management techniques like mindfulness, meditation, or deep breathing exercises. High stress levels can impair cognitive function.

Chronic stress can have detrimental effects on memory, attention, and decision-making. Practising stress-reduction techniques can help clear your mind, improve focus, and promote overall mental well-being.

By incorporating these straightforward yet powerful tips into your daily life, you can effortlessly sharpen your brain, boost intellectual skills, and enjoy a more fulfilling and mentally active existence. Remember that small changes can lead to significant improvements in your cognitive abilities and overall quality of life.

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The Playing Brain. The Impact of Video Games on Cognition and Behavior in Pediatric Age at the Time of Lockdown: A Systematic Review

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Data sharing not applicable.

A growing number of children and adolescents play video games (VGs) for long amounts of time. The current outbreak of the Coronavirus pandemic has significantly reduced outdoor activities and direct interpersonal relationships. Therefore, a higher use of VGs can become the response to stress and fear of illness. VGs and their practical, academic, vocational and educational implications have become an issue of increasing interest for scholars, parents, teachers, pediatricians and youth public policy makers. The current systematic review aims to identify, in recent literature, the most relevant problems of the complex issue of playing VGs in children and adolescents in order to provide suggestions for the correct management of VG practice. The method used searches through standardized search operators using keywords related to video games and the link with cognition, cognitive control and behaviors adopted during the pandemic. Ninety-nine studies were reviewed and included, whereas twelve studies were excluded because they were educationally irrelevant. Any debate on the effectiveness of VGs cannot refer to a dichotomous approach, according to which VGs are rigidly ‘good’ or ‘bad’. VGs should be approached in terms of complexity and differentiated by multiple dimensions interacting with each other.

1. Introduction

In the last decades, a very large body of literature has shown an increasing interest in video games (VGs) and their impact on the brain, cognition and behavior, especially in children and adolescents [ 1 ]. Indeed, a widely growing number of children and adolescents play VGs for a long time, often developing real addictive behaviors [ 2 , 3 ]. In addition, the current outbreak of the COVID-19 pandemic and the following lockdown have significantly reduced outdoor activities and direct interpersonal relationships [ 4 , 5 ]. However, literature data are still inconsistent. For example, according to some meta-analytic reviews [ 6 , 7 , 8 ], exposure to violent VGs is a causal risk factor for increased aggressive behavior, cognition and affection in children and adolescents. Conversely, many cross-sectional and intervention studies have shown that the intensive use of some types of VGs leads to significant improvements in many cognitive domains and behaviours [ 1 , 9 , 10 , 11 ]. Video games are even considered as ‘virtual teachers’ and effective and ‘exemplary teachers’ [ 12 , 13 ].

The current systematic review focuses on some crucial outstanding issues within the debate on the effects of VGs on cognition and behavior in order to provide suggestions for parents, pediatricians, health providers and educators dealing with pediatric ages, especially in the complex pandemic period. Namely, it analyzes the most debated and educationally relevant problems on the relationship between video games, cognition and behavior: 1. video games’ effects on cognitive function; 2. video games’ effects on attention and addictive behaviors; 3. video games and prosocial or aggressive behavior. Therefore, the current analysis may be accounted as an original contribution to the practical dimension in the educational and rehabilitation field for parents and educators.

Early common predominant opinions mainly focused on VGs according to dichotomous thinking, as enjoyable entertainment or harmful tools [ 14 ]. The recent literature instead provided evidence on the impact of VGs on the brain and its functional modifications while playing [ 15 , 16 , 17 , 18 , 19 ], showing that video games involve different cortical and subcortical structures, with cognitive and emotional competence, such as frontal and prefrontal regions, the posterior and superior parietal lobe, the anterior and posterior cingulate cortices, limbic areas, the amygdala, the entorhinal cortex and basal nuclei [ 1 , 20 , 21 , 22 ].

Mondéjar and colleagues [ 15 ], in a group of twelve healthy preadolescents between 8 and 12 years old, evaluated the frontal lobe activity and the different types of cognitive processing during five platform-based action videogame mechanics: 1. accurate action, related to processes such as concentration, attention, impulse control and information comprehension; 2. timely action, related to working memory, selective attention, decision-making, problem solving and perception; 3. mimic sequence, related to working memory, focalized attention and inhibition control; 4. pattern learning, as selective attention, planning, inhibition control and spatial orientation; 5. logical puzzles related to attention, working memory, the capacity for abstraction, information processing, problem solving, or resistance to interference. They found prominent bioelectrical prefrontal activity during the performance related to executive functions (timely action, pattern learning, logical puzzles) and more global brain activity and a higher presence of alpha waves, or a greater activation of the temporal lobe, in the accurate action and mimic sequence. Similarly, they correlated higher magnitudes on frequency bands with five game mechanics in ten healthy children, who played with a VG platform for an average of about 20 min [ 16 ]. Theta waves, related to memory and emotions, were more significant in the five mechanics, while beta waves, related to concentration, were more prominent in only two. Moreover, activation was more significant in the intermediate and occipital areas for all the mechanics, while recurrent magnitude patterns were identified in three mechanics.

Similarly, Lee et al. [ 17 ], found a thinner cortex and a smaller gray matter volume in critical areas for evaluating reward values, error processing and adjusting behavior, namely, the anterior cingulate cortex, the orbitofrontal cortex and the frontoparietal areas, in young male adults with internet gaming disorders, compared to age-matched healthy male controls. A neuroimaging study examined in individuals affected by gaming disorders the differences during the playing of a violence-related vs. a non-violence-related version of the same VG [ 18 ]. While functional connectivity of the reward-related network and the behavioral inhibition system was altered, the orbitofrontal cortex and anterior cingulate cerebral area were overstimulated, similarly to smart drug addiction [ 17 , 23 ].

Recently, Kwak et al. [ 19 ] longitudinally compared 14 adolescents with internet gaming disorder to 12 professional internet gaming students who practiced for about ten hours a day, within a defined support system that included practice, physical exercise, lectures on team strategy, rest and mealtimes. After one year, both groups showed increased brain activity within the attention system of the parietal lobe. However, professional gamers improved problematic behaviors, impulsivity, aggression, depression and anxiety, while adolescents with internet gaming disorder showed no behavioral improvement and a dysfunctional brain activity within the impulse control network in the left orbitofrontal cortex.

The current systematic review was structured according to the guidelines and recommendations contained in the PRISMA statement [ 24 ].

Eligibility Criteria

Both experimental and correlational studies and meta-analyses between the years of 2000 and 2020 that investigated outcomes of VG exposure were included. They were considered children and adolescents. Studies employing different methodologies were included: studies in which naive participants were trained to use a VG versus a control group and studies comparing experienced versus non-gamers, or inexperienced players. Primary outcome measures were any type of structural and functional data obtained using neuroimaging techniques and behavioral testing.

Information Sources

One hundred and twenty-two studies were identified through electronic database searching in Ovid MEDLINE, Embase, PsycINFO, PubMed, Scopus (Elsevier) and Web of Sciences. The final database search was run on January 2021 using the following keywords: video games; video games and cognition; video games and epidemic; cognitive control; behavior control; brain and video games; spatial cognition; prosocial behavior; violence in video games; aggressive behavior; addictions in adolescents; children and video games.

Study Selection

Inclusion criteria: written in English; published since 2000; deals in depth with cognitive skills, attention, executive functions, or cognitive control; follows a high methodological rigor.

Exclusion criteria: does not refer to key topics directly; the full text could not be obtained; lack of transparency due to missing methodology information. Ninety-nine studies were reviewed and included, whereas twelve studies were excluded because they were irrelevant to the topic or because the full text was not obtained. General communication materials, such as pamphlets, posters and infographics, were excluded as they do not provide evidence about their effectiveness.

Figure 1 shows the selection of studies flowchart.

Selection of studies flowchart.

3.1. Effect of Video Games on Cognitive Functions

Any modern VG requires an extensive repertoire of attentional, perceptual and executive abilities, such as a deep perceptual analysis of complex unfamiliar environments, detecting relevant or irrelevant stimuli, interference control, speed of information processing, planning and decision making, cognitive flexibility and working memory.

Literature data in the last years have proven that VGs may improve a variety of cognitive domains [ 1 , 25 ] as, for example, even just 10 hours of VG could improve spatial attention and mental rotation [ 26 , 27 ]. A large variety of design studies reported in habitual players better performance in multiple cognitive domains, including selective attention [ 3 , 21 , 26 , 28 ], speed of processing [ 21 , 28 ], executive functions [ 29 , 30 ] and working memory [ 31 ]. Similarly, a large body of intervention studies have shown improvements in the same cognitive domains in non-players following training in action VGs [ 27 , 32 , 33 , 34 , 35 , 36 , 37 ]. Recently, Benoit et al. [ 38 ] examined in 14 professional VG players and 16 casual VG players various cognitive abilities, such as processing speed, attention, memory, executive functions, manual dexterity and tracking multiple objects in three dimensions [ 39 ]. Professional players showed a very large advantage in visual–spatial short-term memory and visual attention, and less in selective and sustained attention and auditory working memory. Moreover, they showed better speed thresholds in tracking multiple objects in three dimensions overall, though the rate of improvement did not differ in the two groups. In two previous meta-analyses, Bediou et al. [ 40 ] focused on the long-term effects of action VGs on various cognitive domains using both cross-sectional and intervention studies. Overall, the results documented a positive impact of action video gaming on cognition. In cross-sectional studies, a main effect of about half a standard deviation was found. The habitual action game players showed better performance than non-players. Likewise, intervention studies showed about a third of a standard deviation advantage in cognition domains in action VG trainees. Perception, spatial cognition and top-down attention were the three cognitive domains with the most robust impact [ 40 ].

Homer et al. [ 41 ] examined the effectiveness of a custom-designed VG (‘alien game’) in a group of 82 healthy adolescents (age range 14–18 years; average = 15.5 years) trained to play for 20 min per week for 6 consecutive weeks. Such a digital game was devised to target, in a fun way, the specific executive ability of shifting, as the ability to shift between tasks or mental sets, hypothesizing that after playing the ‘alien game’ over a period of several weeks, adolescents would show significant improvements in the targeted ability. Pre- and post-test measures of another executive ability, inhibition, as the ability to control a prepotent response, were also recorded in order to examine the extent to which training would transfer from one executive ability to another. Significant advantages both in shifting and in inhibition abilities were found, providing evidence that VGs can be effective tools for training executive abilities [ 42 , 43 ].

Similarly, Oei and Patterson [ 44 ] examined the effect of action and non-action VGs on executive functions. Fifty-two non-VG gamers played one of four different games for 20 h. Pre- and post-training tests of executive function were administered. The group that trained on the physics-based puzzle game, demanding high level planning, problem solving, reframing, strategizing and new strategies from level to level, improved in several aspects of executive function. In a previous study, the same authors [ 45 ] instructed 75 non-gamers, (average age 21.07 ± 2.12) to play for 20 h, one hour a day/five days a week over four weeks. They compared effects of action and non-action games to examine whether non-action games also improve cognition. Four tests pre- and post-training were administered. The results showed that cognitive improvements were not limited to training with action games and that different games improved different aspects of cognition. Action VGs have even been used to treat dyslexic children [ 46 , 47 ]. Only 12 h of action VGs, for nine sessions of 80 min per day, significantly improved reading and attentional skills [ 48 ].

Moreover, several meta-analytic studies provide evidence that action VG training may become an efficient way to improve the cognitive performance of healthy adults. Wang et al. [ 49 ], in a meta-analysis, found that healthy adults achieve moderate benefits from action VG training in overall cognitive ability and moderate to small benefits in specific cognitive domains. In contrast, young adults gain more benefits than older adults in both overall cognition and specific cognitive domains.

In summation, the studies on VG effects, by different methodologies, document both in adults and in children significant positive outcomes in different cognitive domains. Such performance improvements may be paralleled by functional brain remodelling [ 14 ].

3.2. Video Games Effect on Attention and Addictive Behaviors

Attentional problems are accounted as a crucial area of focus on outcomes of intensive game-play practices in children and adolescents. However, literature on the topic appears inconsistent. While some research has found mixed results [ 50 ] or a positive effect [ 51 , 52 , 53 ], or no relationship between VG practice and attention, other studies have linked VG playing with greater attention problems, such as impulsiveness, self-control, executive functioning, and cognitive control [ 53 , 54 , 55 ].

Gentile et al. [ 56 ], examining longitudinally, over 3 years, a large sample of child and adolescent VG players aged 8–17 (mean = 11.2 ± 2.1), suggested a bidirectional causality: children who spend more time playing VGs have more attention problems; in turn, subjects who have more attention problems spend more time playing VGs. Therefore, children and adolescents with attention problems are more attracted to VGs (excitement hypothesis), and, in turn, they find it less engaging to focus on activities requiring more control and sustained attention, such as educational activities, homework or household chores (displacement hypothesis). According to such hypotheses, and to the operant conditioning model [ 57 , 58 ], VGs, providing strong motivational cues, become more rewarding for impulsive children and teenagers [ 51 ] who, in such contexts, experience a sense of value and feelings of mastery that they do not experience in their daily relationships [ 59 ].

Actually, any modern VG is a highly engaging activity with a variety of attractive cues, such as, for example, violence, rapid movement, fast pacing and flashing lights [ 60 , 61 ]. According to the attractive hypothesis [ 56 ], it may provide a strong motivation and support for attention and even become addictive, especially in subjects with problems maintaining attention in usual, monotonous and poorly engaging tasks. Therefore, paradoxically, a greater VG exposure may improve visual attention skills involved in such engaging play [ 26 ], but it may impair the ability to selectively focus on a target for lasting time, without external exciting cues.

Probably, in line with the bidirectional causality framework [ 56 ], such rewarding conditions could become the psychological context for the structuring of addictive behaviors, such as a sense of euphoria while playing, feeling depressed away from the game, an uncontrollable and persistent craving to play, neglect of family and friends, problems with school or jobs, alteration of sleeping routines, irregular meals and poor hygiene [ 14 ]. The most psychologically fragile subjects may be most attracted to an engaging and rewarding activity, ensuring an effective compensation to their fragility [ 14 ]. However, the topic of video game addiction continues to present today many outstanding issues. There is a large consensus that ‘pathological use’ is more debilitating than ‘excessive use’ of VGs alone [ 62 , 63 , 64 ]. Addictive behavior appears associated with an actual lowering in academic, social, occupational, developmental and behavioral dimensions, while excessive use may simply be an excessive amount of time gaming. According to Griffiths’ suggestions, ‘healthy excessive enthusiasms add to life, whereas addiction takes away from it’ [ 65 ]. However, it is sometimes difficult to identify the clear line between unproblematic overuse of gaming and the pathological and compulsive overuse that compromises one’s lifestyle and psychosocial adjustment [ 66 , 67 , 68 ]. Therefore, there may be a risk of stigmatizing an enjoyable practice, which, for a minority of excessive users, may be associated with addiction-related behaviors [ 69 , 70 ]. Przybylski and colleagues, in four survey studies with large international cohorts (N = 18,932), found that the percentage of the general population who could qualify for internet gaming disorders was extremely small (less than one percent) [ 71 ].

In such a discussion of the pathological nature of VGs, another outstanding question is whether pathological play is a major problem, or if it is the phenomenological manifestation of another pathological condition. Several studies have suggested that video game play can become harmful enough to be categorized as a psychiatric disorder, or it could be a symptom of an underlying psychopathological condition, such as depression or anxiety. Moreover, the functional impairments observed in individuals with game addictions are also thought to be similar to the impairments observed in other addictions. Neuroimaging studies have shown that the brain reward pathways which are activated during video game playing are also activated during cue-induced cravings of drug, alcohol or other type of substances abuse [ 72 , 73 , 74 ].

Some longitudinal studies [ 14 , 75 , 76 ] proved that pathological addictive behaviors, such as depression, are likely to be outcomes of pathological gaming rather than predictors of it [ 77 , 78 ]. Lam and Peng [ 79 ], in a prospective study with a randomly generated cohort of 881 healthy adolescents aged between 13 and 16 years, found that the pathological use of the internet results in later depression. Similarly, Liau et al. [ 80 ], in a 2-year longitudinal study involving 3034 children and adolescents aged 8 to 14 years, found that pathological video gaming has potentially serious mental health consequences, in particular of depression.

In summary, attention problems and addictive behaviors in the context of VGs should be addressed in a circular and bidirectional way in which each variable can influence the others.

3.3. Video Games Effect and Prosocial and Aggressive Behaviors

The positive impact of video games also concerns the social and relational dimension, as occurs in the VG training of prosocial or educational skills. Several studies have reported that playing prosocial VGs, even for a short time, increases prosocial cognition [ 81 ], positive affect [ 82 ] and helping behaviors [ 13 , 81 , 82 , 83 , 84 , 85 ], whereas it decreases antisocial thoughts and the hostile expectation bias, such as the tendency to perceive any provocative actions of other people as hostile even when they are accidental [ 13 , 86 ]. Such findings have been found in correlational, longitudinal and experimental investigations [ 82 , 85 , 87 ].

In four different experiments [ 13 ], playing VGs with prosocial content was positively related to increased prosocial behavior, even though participants played the VGs for a relatively short time, suggesting that VGs with prosocial content could be used to improve social interactions, increase prosocial behavior, reduce aggression and encourage tolerance.

Following experimental, correlational, longitudinal and meta-analytic studies provided further evidence that playing a prosocial VG results in greater interpersonal empathy, cooperation and sharing and subsequently in prosocial behavior [ 87 , 88 , 89 , 90 ].

Such literature’s data are consistent with the General Learning Model [ 91 , 92 ], according to which the positive or negative content of the game impacts on the player’s cognition, emotions and physiological arousal, which, in turn, leads to positive or negative learning and behavioral responses [ 12 , 93 , 94 , 95 ]. Therefore, repeated prosocial behavioral scripts can be translated into long-term effects in cognitive, emotional and affective constructs related to prosocial actions, cognition, feelings, and physiological arousal, such as perceptual and expectation schemata, beliefs, scripts, attitudes and stereotypes, empathy and personality structure [ 83 , 91 ].

In the same conceptual framework, educational video games have been found to positively affect behaviors in a wide range of domains [ 12 ], school subjects [ 96 ] and health conditions [ 97 , 98 ]. In randomized clinical trials, for example, diabetic or asthmatic children and adolescents improved their self-care and reduced their emergency clinical utilization after playing health education and disease management VGs. After six months of playing, diabetic patients decreased their emergency visits by 77 percent [ 99 ]. Therefore, well-designed games can provide powerful interactive experiences that can foster young children’s learning, skill building, self-care and healthy development [ 100 ].

Violence in VGs is a matter of intense debate, both in public opinion and in the scientific context [ 101 , 102 ]. A vast majority of common opinions, parents and educators consider the violence of VGs as the most negatively impacting feature to emotional and relational development of youth and children. Actually, studies agree on the negative impact of violent video games on aggressive behavior. Several meta-analyses have examined violent VGs [ 6 , 7 , 8 , 103 ] and, although they vary greatly in terms of how many studies they include, they seem to agree with each other. The most comprehensive [ 8 ] showed that violent VGs, gradually and unconsciously, as a result of repeated exposure to justified and fun violence, would increase aggressive thoughts, affect and behavior, physiological persistent alertnes, and would desensitize players to violence and to the pain and suffering of others, supporting a perceptual and cognitive bias to attribute hostile intentions to others.

Similarly, experimental, correlational and longitudinal studies supported the causal relationship between violent VGs and aggression, in the short- and long-term, both in a laboratory and in a real-life context. A greater amount of violent VGs, or even a brief exposure, were significantly associated with more positive attitudes toward violence [ 104 ], higher trait hostility [ 105 ] and with increased aggressive behaviors [ 106 ], physical fights [ 107 ] and aggressive thoughts [ 108 ] and affect [ 109 ]. In a two-year longitudinal study, children and adolescents who played a lot of violent VGs showed over time more aggressive behaviors, including fights and delinquency [ 110 ]. Saleem, Anderson and Gentile [ 82 ] examined the effects of short-term exposure to prosocial, neutral and violent VGs in a sample of 191 children of 9–14 years old. Results indicated that while playing prosocial games increased helpful and decreased hurtful behaviour, the violent games had the opposite effect.

In summation, the overall literature data support the opinion that violent video games, over time, affect the brain and activate a greater availability to aggressive behavior patterns, although some researchers have pointed out that the negative effects of violent VGs are small and may be a publication bias [ 14 , 111 ].

4. Discussion

The focus of the current overview was to identify, from a functional point of view, the most significant issues in the debate on the impact of VGs on cognition and behavior in children and adolescents, in order to provide suggestions for a proper management of VG practice.

Overall, the reviewed literature agrees in considering the practice of VGs as much more than just entertainment or a leisure activity. Moreover, research agrees that any debate on the effectiveness of VGs cannot refer to a unitary construct [ 14 ], nor to a rigidly dichotomous approach, according to which VGs are ‘good’ or ‘bad’ [ 1 , 12 , 112 , 113 ].

The term ‘video game’ should be viewed as an ‘umbrella term’ that covers different meanings, far from a single unitary construct [ 14 , 114 ]. Furthermore, VGs and their effects should be approached in terms of complexity and differentiated by multiple dimensions interacting with each other and with a set of other variables, such as, for example, the player’s age and personality traits, the amount of time spent playing, the presence of an adult, the game alone or together with others and so on [ 115 ].

Gentile and colleagues [ 116 , 117 , 118 , 119 ] have identified five main features of VGs that can affect players: 1. amount of play; 2. content; 3. context; 4. structure; and 5. mechanics. Each of these aspects can produce or increase different thoughts, feelings and behaviors.

However, the content effects, individually focused, are frequently overemphasized. According to the General Learning Model, children would learn the contents of the specific games and apply them to their lives. Nevertheless, a violent game using a team-based game modality may have different impacts than a violent game using a ‘free for all’ game modality. Although both are equally violent games, the former could suggest teamwork and collaborative behaviors, while playing in an ‘everyone for oneself’ mode could foster less empathy and more aggressive thoughts and behaviors [ 8 , 88 ].

Likewise, the outside social context can have different effects and it may even mitigate or reinforce the effects of the content. Playing violent games together with others could increase aggression outcomes if players reinforce each other in aggressive behavior. Instead, it could have a prosocial effect if the motivations to play together are to help each other [ 120 ].

According to the dominant literature, the psychological appeal of video games may be related to an operant conditioning that reinforces multiple psychological instances, including the need for belonging and social interaction [ 57 , 58 ]. On such drives and reinforcements, the playing time can expand, and it may become endless in addicted subjects. However, the amount of play, regardless of the content, can become harmful when it displaces beneficial activities, affects academic performance or social dimensions [ 52 , 121 ], or supports health problems, such as, for instance, obesity [ 122 , 123 , 124 ], repetitive strain disorder and video game addiction [ 76 , 83 ]. However, a greater amount of time inevitably implies increased repetition of other game dimensions. Therefore, it is likely that some associations between time spent and negative outcomes result from other dimensions, and not from amount of time per se. Moreover, children who perform poorly at school are likely to spend more time playing games, according to the displacement hypothesis, but over time, the excessive amount of play may further damage academic performance in a vicious circle [ 116 ].

VGs can also have a different psychological appeal in relation to their structural organization and the way they are displayed. Many structural features can affect playing behavior, regardless of the individual’s psychological, physiological, or socioeconomic status [ 125 ], such as, for instance, the degree of realism of the graphics, sound and back-ground, the game duration, the advancement rate, the game dynamics such as exploring new areas, elements of surprise, fulfilling a request, the control options of the sound, graphics, the character development over time and character customization options, the winning and losing features as the potential to lose or accumulate points, finding bonuses, having to start a level again, the ability to save regularly, the multi-player option building alliances and beating other players [ 125 ].

The more or less realistic mechanics can also configure the game differently and affect fine or gross motor skills, hand-eye coordination or even balance skills, depending on the type of controller, such as a mouse and keyboard, a game control pad, a balance board, or a joystick.

Therefore, VGs may differ widely in multiple dimensions and, as a result, in their effects on cognitive skills and behavior [ 3 , 33 ]. Moreover, the different dimensions may interact with each other and with the psychological, emotional and personality characteristics of the individual player and context. Even the same game can have both positive and negative effects in different contexts and for different subjects.

The current analysis of the literature, therefore, supports the need for further experimental and longitudinal research on the role of multiple characteristics of video games and their interactions. A wide-ranging approach dynamically focused on the multiple dimensions will allow a deeper theoretical understanding of the different aspects of video games.

Nevertheless, according to common opinion, the violence would always have a negative impact on behavior, especially in pediatric subjects. However, a strictly causal relationship between violent VGs and aggressive behavior appears rather reductive [ 126 , 127 ]. Aggressive behavior is a complex one and arises from the interaction of a lot of factors. Therefore, violent VGs, with no other risk factors, should not be considered ‘per se’ the linear cause and single source of aggressive or violent behavior. Antisocial outcomes can be influenced by personality variables, such as trait aggression, or by a number of the ‘third variables’ such as gender, parental education, exposure to family violence and delinquency history [ 83 ]. According to social learning theories [ 128 ], aggressive behavior would arise from repeated exposure to violence patterns [ 129 ]. Therefore, children who have other risk factors for violent or aggressive behavior, such as violent family patterns, excessive amount of time spent playing, playing alone, and so on are more likely to have negative consequences from playing violent video games.

An alternative theoretical framework [ 126 , 127 ] assumes that violent behavior would result from the interaction of genetically predisposed personality traits and stressful situations. In such a model, violent VGs would act as ‘stylistic catalysts’ [ 127 ], providing an individual predisposed to violence with the various models of violent behavior. Therefore, an aggressive child temperament would derive from a biological pathway, while the violent VG, as a ‘stylistic catalyst’, may suggest the specific violent behavior to enact.

Conversely, playing prosocial VGs, even for a short time, increases prosocial cognition, affect and behaviors in children and adolescents [ 13 , 81 , 82 , 83 , 84 , 85 , 89 ]. Several intervention or training studies showed that a prosocial VG should activate experiences, knowledge, feelings and patterns of behavior relating to prosocial actions, cognition, feelings and physiological arousal. In turn, in line with the General Learning Model, [ 91 , 130 ], recurrent prosocial behavioral scripts produce new learning, new behavioral patterns and emotional and affective cognitive constructs [ 83 ].

Moreover, several studies emphasize the educational and academic potential of VGs that may become effective and ‘exemplary teachers’ [ 12 , 82 ] providing fun and motivating contexts for deep learning in a wide range of content [ 12 ], such as school learning [ 96 ], rehabilitation activities [ 46 , 47 ], new health care and protection behavior development and the enhancement of specific skills [ 97 , 99 , 100 ]. Similarly, the literature data document that the intensive use of VGs results in generalized improvements in cognitive functions or specific cognitive domains, and in behavioral changes [ 1 ]. Actually, VGs involve a wide range of cognitive functions, and attentional, perceptual, executive, planning and problem solving skills. They can, therefore, be expected to improve different perceptual and cognitive domains. However, on a methodological level, the impact on behavior and cognition cannot be simplistically viewed as the linear result of a causal relationship between VG and performance. For instance, subjects with better perceptual abilities are likely to choose to play and, as a result, their increase in performance may reflect their baseline level rather than the effects of the game.

Studies focused on the attentional functions in VG playing reported inconsistent data. Playing action games may improve attention skills implied in a specific game. However, according to the attractive hypothesis [ 56 ] and operant conditioning theory, children and adolescents with attentional problems may be attracted by the motivating and engaging VG activities. On the other hand, children and adolescents with a wider VG exposure show greater attention problems [ 53 ]. The relationship between VGs and attention, then, seem to be approached in terms of bidirectional causality [ 56 ].

Similarly, since VGs and their cues appear more pleasant and desirable, a large amount of attractive VG exposure can lead to addiction and impair ability to focus on effortful goal oriented behavior [ 131 ]. However, the literature does not yet appear to agree on the objective diagnostic criteria for classifying behavioral game addiction [ 132 ].

In the fifth edition appendix of the Diagnostic and Statistical Manual of Mental Disorders [ 133 ], the diagnostic criteria for Internet Gaming Disorder included both specific internet games and offline games. However, this has led to some confusion as to whether excessive video games must necessarily occur online [ 134 , 135 ]. According to some authors, since ‘Internet addiction’ includes heterogeneous behaviors and etiological mechanisms, the term ‘video game disorder’ or simply ‘gaming disorder’ would be more suitable [ 136 , 137 ], while the term ‘Internet addiction’ appears inappropriate. Individuals rarely become addicted to the medium of the internet itself [ 137 , 138 ]. Moreover, it has also been supported theoretically [ 135 ] and empirically proven [ 139 ] that problematic internet use and problematic online gaming are not the same.

The debate on the relationship between pure game addiction behaviors and game addiction in comorbidity with other psychiatric disorders appears still on. Some researchers have argued that game addiction, as a standalone clinical entity, does not exist [ 140 ], but it is simply a symptom of psychiatric illnesses such as major depressive disorder or Attention Deficit Hyperactivity Disorder. Equally poorly defined is the question of genetic predisposition and vulnerability to game addiction.

Likewise, the relationship between clinical symptoms and changes in brain activity and the dynamics by which video games triggers such widespread brain plasticity needs to be more clearly defined.

5. Conclusions

The current analysis of the literature provides strong evidence on the power of video games as highly motivating and engaging tools in the broader context of cognitive, emotional and relational development of children and adolescents. However, the effectiveness of such tools does not arise exclusively from their content, but it results from a set of variables interacting each other.

Video games, beyond their content, can favor pathological aggression, withdrawal, escape from reality and reduction of interests. Virtual reality becomes more attractive than the real one and can become the ‘non-place’ to escape from the complexity of everyday life. Recently, to contain the spread of the COVID-19 pandemic, health authorities have forced populations to stay home and children and adolescents may experience an exacerbation of exposure to video games.

Parents, educators and teachers should ensure an educational presence, monitoring times and modalities of VG practice in a broader context in which children and adolescents live with a wider repertoire of interests, without losing social and relational engagement. Moreover, pediatric health care visits may be a great opportunity to support parents helping children to deal with media and video games.

On these assumptions, as practical suggestions to prevent or mitigate addictive behaviors, parents and educators should enforce the golden rule as the educational presence of the adult.

Moreover, in line with the literature, the core values to prevent a negative impact of video games should be focused on a few rules to be proposed with assertiveness and authority: 1. set a clear time limit to play, 2. prefer games that can also be played with family, 3. alternate video games with other games and activities, 4. avoid highly addictive games, 5. keep a social life in the real world.

Author Contributions

Conceptualization, D.S., L.D.F. and G.L.; methodology, D.S., E.G.; formal analysis, D.S., E.G. and L.D.F.; data curation, E.G. and L.D.F.; writing—original draft preparation, D.S., E.G. and L.D.F.; writing—review and editing, D.S.; supervision, D.S. and G.L.; funding acquisition, D.S. and G.L. All authors have read and agreed to the published version of the manuscript.

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Data availability statement, conflicts of interest.

The authors declare no conflict of interest.

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