Information Pickup Theory

There is a long history of interpreting learning in terms of the latest technologies. Examples include writing on a tablet, taking photographs and films, and making connections on a telephone switchboard. Brain-as-Computer Discourses represent an uncritical continuation of this trend, through which knowledge is reduced to information and learning is cast as inputting and manipulating that information.

Postcognitivist Discourses reject those discourses that frame cognition in terms of symbolic manipulation and information processing. Postcognitivist Discourses include a wide range of perspectives and foci, but they are united in at least two important grounding assumptions. Firstly, they invoke evolutionary dynamics to describe and explain learning. Secondly, all are compatible with Complex Systems Research.

Embodied Cognition asserts that humans are doubly embodied. That is, human cognition simultaneously depends on having a biological body and being part of a socio-cultural corpus. These two nested bodies are intimately intertwined: one’s physical body defines possible movements and ranges of perception; the grander context in which one is embedded defines appropriate actions and the scopes of interpretive possibilities.

Affordance Theory attends to “affordances” – that is, to the range of possibilities that arise when an individual (with specific intentions and needs, and who is oriented by a personal history) interacts with an environment (with specific structures/affordances that help to channel perception and that enable some actions while constraining others).

Cognitive Science is the study of cognition in humans, non-human animals, and machines. It brings together psychology, linguistics, computer science, neuroscience, anthropology, philosophy, and other domains. Typically, the foci of Cognitive Science are identified as learning, development, perception, attention, reasoning, emotion, consciousness, memory, language, creativity, and intelligence, and its are identified as better understanding the mind, advancing practical knowledge of learning, and developing intelligent devices.

Behaviorisms reject the notion that knowledge is some sort of external, stable, and context-free form. Rejecting attempts to explain learning in terms of unobservable mental processes, Behaviorisms focus instead on observable and measurable phenomena – thus operationally defining learning in terms of changes in behavior that are attributable to environmental factors.

Cognitivism is explicitly developed around the metaphor “brain as computer.” It thus focuses on how information is acquired, processed, and organized. Learning is seen in terms of integration of new information into existing structures through processes of internal codification.

Mentalisms reach across any theory that (1) assumes a separation of mental from physical (inner from outer, subjective from objective, etc.) and (2) casts learning in terms of mental images, models, encodings, or other inner representations of the existing world. Some sort of barrier – typically the body, or fallible senses, or faulty subjective interpretations – is seen to prevent direct, first-hand knowledge of reality.