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01-09-2021 | Original Article

Embodiment and learning of abstract concepts (such as algebraic topology and regression to the mean)

Auteur: Arthur M. Glenberg

Gepubliceerd in: Psychological Research | Uitgave 8/2022

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Abstract

This video is a proof of concept that ideas from embodied cognition can be used to understand how the brain and cognitive systems deal with very abstract concepts. The video teaches regression to the mean using three ideas. The first idea is directly related to embodied cognition: abstract concepts are grounded in perceptual, motor, and emotional systems by using successive levels of grounding within an extended procedure. The second idea is that this sort of grounding often requires formal instruction: a teacher needs to develop the sequence in which the concepts are grounded and the methods of grounding. That is, at least some abstract concepts are unlikely to be learned through an individual's unstructured interactions with the world. The third idea is that humans are hyper-social, thus making formal instruction possible. To the extent that the viewer learns the abstract concept of regression to the mean, then the video demonstrates how an embodied theory of abstract concepts could work.
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Metagegevens
Titel
Embodiment and learning of abstract concepts (such as algebraic topology and regression to the mean)
Auteur
Arthur M. Glenberg
Publicatiedatum
01-09-2021
Uitgeverij
Springer Berlin Heidelberg
Gepubliceerd in
Psychological Research / Uitgave 8/2022
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI
https://doi.org/10.1007/s00426-021-01576-5

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