FocusProcesses associated with generating and using knowledge
- Knowledge is … information
- Knowing is … using information
- Learner is … an information processor (individual)
- Learning is … inputting (and associated computer-based notions, such as processing, storing, and retrieving)
- Teaching is … transmission (of information)
SynopsisCognitive Processes are typically understood to be brain-based phenomena that are associated with generating new knowledge and using established knowledge. Such processes include such variously and vaguely defined phenomena as attention, formation of knowledge, memory, judgment, evaluation, reasoning, computation, decision making, comprehension, and language use. In general, such processes are understood to improve with age and experience, and so Cognitive Processes are often associated with Developmental Discourses. Associated constructs include:
- Processing Speed – A counterpart to speed-based notions associated with the Attainment Metaphor (see Quickness (Delayed; Slowness; Retardation) Metaphor under Medical Model of (Dis)Ability), Processing Speed emerges from the grounding metaphors of Brain-as-Computer Discourses. It refers to the pace at which a learner makes appropriate sense or takes appropriate action.
- Attentional Control – one’s capacity to determine what to focus on and what to ignore
- Cognitive Flexibility Theory – “cognitive flexibility” refers to one’s ability to spontaneously reconfigure one’s understandings in ways to adapt to novel and dynamic situations
- Crystalized Intelligence (Raymond Cattell, 1960s) – one’s ability to apply prior learnings. (contrast: Fluid Intelligence, see below)
- Executive Functions (Cognitive Control) – those Cognitive Processes that are seen as necessary for managing one’s own thoughts, perceptions, and actions. All of the entries below are examples of Executive Functions.
- Fast Mapping (Susan Carey, Elsa Bartlett, 1970s) – construing an appropriate meaning of a new concept by associating it with elements encountered in the same spatial-temporal situation
- Fluid Intelligence (Raymond Cattell, 1960s) – one’s ability to solve new reasoning problems, making minimal demands on prior learnings. (contrast: Crystalized Intelligence, see above)
- Inhibitory Control (Response Inhibition) – one’s ability to suppress natural and learned impulses
- Metacognition – “thinking about thinking” – that is, being critically aware of perceptions and interpretations as they happen
- Pattern Recognition – experiencing a new object or event as familiar by associating some structural aspect of that experience with memories of prior experience(s). Specific theories of Pattern Recognition are typically either “top-down” (imposing an established interpretation) or “bottom-up” (analyzing and reassembling a sensory experience). Specific examples include:
- Template Matching Theory – a top-down theory based explicitly on a principle of Representationalism – namely, that cognition involves assembling internal representations (or templates) of external reality – this perspective suggests that perception is a matter of comparing established templates to new sensory inputs
- Prototype Matching Theory – a top-down theory based explicitly on a principle of Representationalism – namely, that cognition involves assembling internal representations (or templates) of external reality – this perspective suggests that perception involves creating abstract prototypes (i.e., “average” or “typical” representations) that are used to interpret new sensory inputs
- Feature Analysis Theory (Feature Detection Theory) – a bottom-up theory of perception that posits that specific neurons (or groups of neurons) encode specific perceptual features, and that different levels of neuronal organization enable perception of relationships among features – and so perception happens when new sensory input activates different neurons (and groups of neurons, and levels of neuronal organization) that are associated with different features and relationships among features
- Recognition by Components (Irving Beiderman, 1980s) – a bottom-up theory that posits that perception is a two-stage process, starting with parsing and dissecting objects into basic geometric shapes (e.g., cubes, cylinders) and proceeding by reassembling them into their functional wholes
- Planning – one’s ability to think through and across the activities associated with accomplishing a task or reaching a goal
- Working Memory (Active Memory) – one’s capacity to manage and manipulate Short-Term Memory (see Memory Research)
CommentaryTo understand the construct of Cognitive Processes, some context is necessary – starting with the term “cognition.” Most definitions of cognition present it as a synonym of learning, with a strong emphasis on mental activity and abilities. Notably, while cognition has been a word in English for centuries, its use has increased 10,000-fold since the 1950s (Source: Google Books Ngram Viewer) – and the reason for that growth is instructive. Its rise corresponds to the emergence of Cognitivism, Information Processing Theory, and other discourses that are based on the metaphor “brain as computer.” These discourses began to emerge in the 1950s – and, with them, a subtle distinction was proposed between learning (as inputting) and cognition (as processing). That distinction is essential for making sense of the grab bag of constructs that have been identified as Cognitive Processes. That said, and to be fair, over recent decades, some of those constructs have come to be associated with robust scientific research.
Authors and/or Prominent InfluencesDiffuse
Status as a Theory of LearningCognitive Processes do not constitute a coherent discourse, although individual processes can be useful as descriptive tools in discussions of learning.
Status as a Theory of TeachingWhile not a discourse on teaching, Cognitive Processes appear to have been growing in popularity among educators, as both goals and means of learning.
Status as a Scientific TheoryAs noted above, it is not appropriate to interpret “Cognitive Processes” as a coherent discourse on learning. Some of its elements have proven to be especially powerful means for making sense of and/or influencing learning in classrooms; other aspects seem to be either too vague or too varied to be of much use to educators. Owing to this motley reputation, this category of discussion does not meet our criteria to be described as scientific.
- Attentional Control
- Crystalized Intelligence
- Executive Functions (Executive Control; Cognitive Control; Control Processes)
- Fast Mapping
- Feature Analysis Theory (Feature Detection Theory; Human Feature Learning)
- Fluid Intelligence
- Inhibitory Control (Response Inhibition)
- Pattern Recognition
- Processing Speed
- Prototype Matching Theory
- Recognition by Components
- Template Matching Theory
- Working Memory (Active Memory)
Please cite this article as:
Davis, B., & Francis, K. (2021). “Cognitive Processes” in Discourses on Learning in Education. https://learningdiscourses.com.
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