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In psychology, cognitivism is a theoretical framework for understanding the mind that gained credence in the 1950s. The movement was a response to behaviorism, which cognitivists said neglected to explain cognition. Cognitive psychology derived its name from the Latin cognoscere, referring to knowing and information, thus cognitive psychology is an information-processing psychology derived in part from earlier traditions of the investigation of thought and problem solving. [1] [2]
Behaviorists acknowledged the existence of thinking but identified it as a behavior. Cognitivists argued that the way people think impacts their behavior and therefore cannot be a behavior in and of itself. Cognitivists later claimed that thinking is so essential to psychology that the study of thinking should become its own field. [2] However, cognitivists typically presuppose a specific form of mental activity, of the kind advanced by computationalism.
Cognitivism has more recently been challenged by postcognitivism.
The process of assimilating and expanding our intellectual horizon is termed as cognitive development. We have a complex physiological structure that absorbs a variety of stimuli from the environment, stimuli being the interactions that are able to produce knowledge and skills. Parents process knowledge informally in the home while teachers process knowledge formally in school. Knowledge should be pursued with zest and zeal; if not, then learning becomes a burden. [3]
Attention is the first part of cognitive development. It pertains to a person's ability to focus and sustain concentration. [4] Attention can also be how focus minded an individual is and having their full concentration on one thing. [5] It is differentiated from other temperamental characteristics like persistence and distractibility in the sense that the latter modulates an individual's daily interaction with the environment. [4] Attention, on the other hand, involves his behavior when performing specific tasks. [4] Learning, for instance, takes place when the student gives attention towards the teacher. Interest and effort closely relate to attention. Attention is an active process which involves numerous outside stimuli. The attention of an organism at any point in time involves three concentric circles; beyond awareness, margin, and focus. [6] Individuals have a mental capacity; there are only so many things someone can focus on at one time.
A theory of cognitive development called information processing holds that memory and attention are the foundation of cognition. It is suggested that children's attention is initially selective and is based on situations that are important to their goals. [7] This capacity increases as the child grows older since they are more able to absorb stimuli from tasks. [7] Another conceptualization classified attention into mental attention and perceptual attention. The former is described as the executive-driven attentional "brain energy" that activates task-relevant processes in the brain while the latter are immediate or spontaneous attention driven by novel perceptual experiences. [8]
Cognitive theory mainly stresses the acquisition of knowledge and growth of the mental structure. Cognitive theory tends to focus on conceptualizing the student's learning process: how information is received; how information is processed and organized into existing schema; how information is retrieved upon recall. In other words, cognitive theory seeks to explain the process of knowledge acquisition and the subsequent effects on the mental structures within the mind. Learning is not about the mechanics of what a learner does, but rather a process depending on what the learner already knows (existing information) and their method of acquiring new knowledge (how they integrate new information into their existing schemas). [9] Knowledge acquisition is an activity consisting of internal codification of mental structures within the student's mind. Inherent to the theory, the student must be an active participant in their own learning process. Cognitive approaches mainly focus on the mental activities of the learner like mental planning, goal setting, and organizational strategies. [10] In cognitive theories not only the environmental factors and instructional components play an important role in learning. There are additional key elements like learning to code, transform, rehearse, and store and retrieve the information. The learning process includes learner's thoughts, beliefs, and attitude values. [11] [12]
Memory plays a vital role in the learning process. Information is stored within memory in an organised, meaningful manner. Here, teacher and designers play different roles in the learning process. Teachers supposedly facilitate learning and the organization of information in an optimal way. Whereas designers supposedly use advanced techniques (such as analogies, mnemonic devices, and hierarchical relationships) to help learners acquire new information to add to their prior knowledge. Forgetting is described as an inability to retrieve information from memory. Memory loss may be a mechanism used to discard situationally irrelevant information by assessing the relevance of newly acquired information. [13]
According to cognitive theory, if a learner knows how to implement knowledge in different contexts and conditions, then we can say that transfer has occurred. [14] Understanding is composed of knowledge - in the form of rules, concepts and discrimination. [15] Knowledge stored in memory is important, but the use of such knowledge is also important. Prior knowledge will be used for identifying similarities and differences between itself and novel information. [16]
Cognitive theory mostly explains complex forms of learning in terms of reasoning, problem solving and information processing. [14] Emphasis must be placed on the fact that the goal of all aforementioned viewpoints is considered to be the same - the transfer of knowledge to the student in the most efficient and effective manner possible. [17] Simplification and standardization are two techniques used to enhance the effectiveness and efficiency of knowledge transfer. Knowledge can be analysed, decomposed and simplified into basic building blocks. There is a correlation with the behaviorist model of the knowledge transfer environment. Cognitivists stress the importance of efficient processing strategies. [18]
A behaviorist uses feedback (reinforcement) to change the behavior in the desired direction, while the cognitivist uses the feedback for guiding and supporting the accurate mental connections. [19] For different reasons learners' task analyzers are critical to both cognitivists and behaviorists. Cognitivists look at the learner's predisposition to learning (How does the learner activate, maintain, and direct their learning?). [19] Additionally, cognitivists examine the learners' 'how to design' instruction that it can be assimilated. (i.e., what about the learner's existing mental structures?) In contrast, the behaviorists look to determine where the lesson should begin (i.e., at what level the learners are performing successfully?) and what are the most effective reinforcements (i.e., What are the consequences that are most desired by the learner?).
There are some specific assumptions or principles that direct the instructional design: active involvement of the learner in the learning process, learner control, metacognitive training (e.g., self-planning, monitoring, and revising techniques), the use of hierarchical analyses to identify and illustrate prerequisite relationships (cognitive task analysis procedure), facilitating optimal processing of structuring, organizing and sequencing information (use of cognitive strategies such as outlining, summaries, synthesizers, advance organizers etc.), encouraging the students to make connections with previously learned material, and creating learning environments (recall of prerequisite skills; use of relevant examples, analogies).
Cognitive theories emphasize mainly on making knowledge meaningful and helping learners to organize and relate new information to existing knowledge in memory. Instruction should be based on students' existing schema or mental structures, to be effective. The organisation of information is connected in such a manner that it should relate to the existing knowledge in some meaningful way. Examples of cognitive strategies include the use of analogies and metaphors, framing, outlining the mnemonics, concept mapping, advance organizers, and so forth. [20] The cognitive theory mainly emphasizes the major tasks of the teacher / designer and includes analyzing various learning experiences to the learning situation, which can impact learning outcomes of different individuals. Organizing and structuring the new information to connect the learners' previously acquired knowledge abilities and experiences. The new information is effectively and efficiently assimilated/accommodated within the learners cognitive structure. [21]
Cognitivism has two major components, one methodological, the other theoretical. Methodologically, cognitivism has a positivist approach and says that psychology can be (in principle) fully explained by the use of the scientific method, there is speculation on whether or not this is true. [22] [ circular reference ] This is also largely a reductionist goal, with the belief that individual components of mental function (the 'cognitive architecture') can be identified and meaningfully understood. [23] The second says that cognition contains discrete and internal mental states (representations or symbols) that can be changed using rules or algorithms. [22] [ circular reference ]
Cognitivism became the dominant force in psychology in the late-20th century, replacing behaviorism as the most popular paradigm for understanding mental function. Cognitive psychology is not a wholesale refutation of behaviorism, but rather an expansion that accepts that mental states exist. This was due to the increasing criticism towards the end of the 1950s of simplistic learning models. One of the most notable criticisms was Noam Chomsky's argument that language could not be acquired purely through conditioning, and must be at least partly explained by the existence of internal mental states.
The main issues that interest cognitive psychologists are the inner mechanisms of human thought and the processes of knowing. Cognitive psychologists have attempted to shed some light on the alleged mental structures that stand in a causal relationship to our physical actions.
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In the 1990s, various new theories emerged that challenged cognitivism and the idea that thought was best described as computation. Some of these new approaches, often influenced by phenomenological and postmodern philosophy, include situated cognition, distributed cognition, dynamicism and embodied cognition. Some thinkers working in the field of artificial life (for example Rodney Brooks) have also produced non-cognitivist models of cognition. On the other hand, much of early cognitive psychology, and the work of many currently active cognitive psychologists, does not treat cognitive processes as computational. The idea that mental functions can be described as information processing models has been criticised by philosopher John Searle and mathematician Roger Penrose who both argue that computation has some inherent shortcomings which cannot capture the fundamentals of mental processes.
Another argument against cognitivism is the problems of Ryle's Regress or the homunculus fallacy. Cognitivists have offered a number of arguments attempting to refute these attacks.[ clarification needed ]
Cognitive science is the interdisciplinary, scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition. Mental faculties of concern to cognitive scientists include language, perception, memory, attention, reasoning, and emotion; to understand these faculties, cognitive scientists borrow from fields such as linguistics, psychology, artificial intelligence, philosophy, neuroscience, and anthropology. The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. One of the fundamental concepts of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."
Cognitive psychology is the scientific study of mental processes such as attention, language use, memory, perception, problem solving, creativity, and reasoning. Cognitive psychology originated in the 1960s in a break from behaviorism, which held from the 1920s to 1950s that unobservable mental processes were outside the realm of empirical science. This break came as researchers in linguistics and cybernetics, as well as applied psychology, used models of mental processing to explain human behavior. Work derived from cognitive psychology was integrated into other branches of psychology and various other modern disciplines like cognitive science, linguistics, and economics. The domain of cognitive psychology overlaps with that of cognitive science, which takes a more interdisciplinary approach and includes studies of non-human subjects and artificial intelligence.
Educational psychology is the branch of psychology concerned with the scientific study of human learning. The study of learning processes, from both cognitive and behavioral perspectives, allows researchers to understand individual differences in intelligence, cognitive development, affect, motivation, self-regulation, and self-concept, as well as their role in learning. The field of educational psychology relies heavily on quantitative methods, including testing and measurement, to enhance educational activities related to instructional design, classroom management, and assessment, which serve to facilitate learning processes in various educational settings across the lifespan.
An instructional theory is "a theory that offers explicit guidance on how to better help people learn and develop." It provides insights about what is likely to happen and why with respect to different kinds of teaching and learning activities while helping indicate approaches for their evaluation. Instructional designers focus on how to best structure material and instructional behavior to facilitate learning.
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.
Cognitive neuroscience is the scientific field that is concerned with the study of the biological processes and aspects that underlie cognition, with a specific focus on the neural connections in the brain which are involved in mental processes. It addresses the questions of how cognitive activities are affected or controlled by neural circuits in the brain. Cognitive neuroscience is a branch of both neuroscience and psychology, overlapping with disciplines such as behavioral neuroscience, cognitive psychology, physiological psychology and affective neuroscience. Cognitive neuroscience relies upon theories in cognitive science coupled with evidence from neurobiology, and computational modeling.
Instructional design (ID), also known as instructional systems design and originally known as instructional systems development (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of knowledge. The process consists broadly of determining the state and needs of the learner, defining the end goal of instruction, and creating some "intervention" to assist in the transition. The outcome of this instruction may be directly observable and scientifically measured or completely hidden and assumed. There are many instructional design models, but many are based on the ADDIE model with the five phases: analysis, design, development, implementation, and evaluation.
Cognition is the "mental action or process of acquiring knowledge and understanding through thought, experience, and the senses". It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and computation, problem-solving and decision-making, comprehension and production of language. Cognitive processes use existing knowledge to discover new knowledge.
Modularity of mind is the notion that a mind may, at least in part, be composed of innate neural structures or mental modules which have distinct, established, and evolutionarily developed functions. However, different definitions of "module" have been proposed by different authors. According to Jerry Fodor, the author of Modularity of Mind, a system can be considered 'modular' if its functions are made of multiple dimensions or units to some degree. One example of modularity in the mind is binding. When one perceives an object, they take in not only the features of an object, but the integrated features that can operate in sync or independently that create a whole. Instead of just seeing red, round, plastic, and moving, the subject may experience a rolling red ball. Binding may suggest that the mind is modular because it takes multiple cognitive processes to perceive one thing.
Behaviorism is a systematic approach to understand the behavior of humans and other animals. It assumes that behavior is either a reflex elicited by the pairing of certain antecedent stimuli in the environment, or a consequence of that individual's history, including especially reinforcement and punishment contingencies, together with the individual's current motivational state and controlling stimuli. Although behaviorists generally accept the important role of heredity in determining behavior, they focus primarily on environmental events. The cognitive revolution of the late 20th century largely replaced behaviorism as an explanatory theory with cognitive psychology, which unlike behaviorism views internal mental states as explanations for observable behavior.
The psychology of learning refers to theories and research on how individuals learn. There are many theories of learning. Some take on a more behaviorist approach which focuses on inputs and reinforcements. Other approaches, such as neuroscience and social cognition, focus more on how the brain's organization and structure influence learning. Some psychological approaches, such as social constructivism, focus more on one's interaction with the environment and with others. Other theories, such as those related to motivation, like the growth mindset, focus more on individuals' perceptions of ability.
Situated cognition is a theory that posits that knowing is inseparable from doing by arguing that all knowledge is situated in activity bound to social, cultural and physical contexts.
Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". Metacognition can take many forms, such as reflecting on one's ways of thinking, and knowing when and how oneself and others use particular strategies for problem-solving. There are generally two components of metacognition: (1) cognitive conceptions and (2) cognitive regulation system. Research has shown that both components of metacognition play key roles in metaconceptual knowledge and learning. Metamemory, defined as knowing about memory and mnemonic strategies, is an important aspect of metacognition.
In cognitive psychology, cognitive load refers to the amount of working memory resources used. However, it is essential to distinguish it from the actual construct of Cognitive Load (CL) or Mental Workload (MWL), which is studied widely in many disciplines. According to work conducted in the field of instructional design and pedagogy, broadly, there are three types of cognitive load: intrinsic cognitive load is the effort associated with a specific topic; extraneous cognitive load refers to the way information or tasks are presented to a learner; and germane cognitive load refers to the work put into creating a permanent store of knowledge. However, over the years, the additivity of these types of cognitive load has been investigated and questioned. Now it is believed that they circularly influence each other.
The cognitive revolution was an intellectual movement that began in the 1950s as an interdisciplinary study of the mind and its processes, from which emerged a new field known as cognitive science. The preexisting relevant fields were psychology, linguistics, computer science, anthropology, neuroscience, and philosophy. The approaches used were developed within the then-nascent fields of artificial intelligence, computer science, and neuroscience. In the 1960s, the Harvard Center for Cognitive Studies and the Center for Human Information Processing at the University of California, San Diego were influential in developing the academic study of cognitive science. By the early 1970s, the cognitive movement had surpassed behaviorism as a psychological paradigm. Furthermore, by the early 1980s the cognitive approach had become the dominant line of research inquiry across most branches in the field of psychology.
In psychology, mentalism refers to those branches of study that concentrate on perception and thought processes, for example: mental imagery, consciousness and cognition, as in cognitive psychology. The term mentalism has been used primarily by behaviorists who believe that scientific psychology should focus on the structure of causal relationships to reflexes and operant responses or on the functions of behavior.
The following outline is provided as an overview of and topical guide to thought (thinking):
Domain-general learning theories of development suggest that humans are born with mechanisms in the brain that exist to support and guide learning on a broad level, regardless of the type of information being learned. Domain-general learning theories also recognize that although learning different types of new information may be processed in the same way and in the same areas of the brain, different domains also function interdependently. Because these generalized domains work together, skills developed from one learned activity may translate into benefits with skills not yet learned. Another facet of domain-general learning theories is that knowledge within domains is cumulative, and builds under these domains over time to contribute to our greater knowledge structure. Psychologists whose theories align with domain-general framework include developmental psychologist Jean Piaget, who theorized that people develop a global knowledge structure which contains cohesive, whole knowledge internalized from experience, and psychologist Charles Spearman, whose work led to a theory on the existence of a single factor accounting for all general cognitive ability.
Psychological behaviorism is a form of behaviorism—a major theory within psychology which holds that generally human behaviors are learned—proposed by Arthur W. Staats. The theory is constructed to advance from basic animal learning principles to deal with all types of human behavior, including personality, culture, and human evolution. Behaviorism was first developed by John B. Watson (1912), who coined the term "behaviorism", and then B. F. Skinner who developed what is known as "radical behaviorism". Watson and Skinner rejected the idea that psychological data could be obtained through introspection or by an attempt to describe consciousness; all psychological data, in their view, was to be derived from the observation of outward behavior. The strategy of these behaviorists was that the animal learning principles should then be used to explain human behavior. Thus, their behaviorisms were based upon research with animals.
Seductive details are often used in textbooks, lectures, slideshows, and other forms of educational content to make a course more interesting or interactive. Seductive details can take the form of text, animations, photos, illustrations, sounds or music and are by definition: (1) interesting and (2) not directed toward the learning objectives of a lesson. John Dewey, in 1913, first referred to this as "fictitious inducements to attention." While illustrated text can enhance comprehension, illustrations that are not relevant can lead to poor learning outcomes. Since the late 1980s, many studies in the field of educational psychology have shown that the addition of seductive details results in poorer retention of information and transfer of learning. Thalheimer conducted a meta-analysis that found, overall, a negative impact for the inclusion of seductive details such as text, photos or illustrations, and sounds or music in learning content. More recently, a 2020 paper found a similar effect for decorative animations This reduction to learning is called the seductive details effect. There have been criticisms of this theory. Critics argue that seductive details do not always impede understanding and that seductive details can sometimes be motivating for learners.