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32 - Neurocomputational Methods

From Models of Brain and Cognition to Artificial Intelligence in Education

from Part III - Education and School-Learning Domains

Published online by Cambridge University Press:  24 February 2022

By
Michael S. C. Thomas  and
Kaska Porayska-Pomsta
Edited by
Olivier Houdé  and
Grégoire Borst
Olivier Houdé
Affiliation:
Université de Paris V
Grégoire Borst
Affiliation:
Université de Paris V
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Summary

In this chapter, we consider computational approaches to understanding learning and teaching. We consider the utility of computational methods in two senses, which we address in separate sections. In Section 32.1, we consider the use of computers to build models of cognition, focusing on the one hand on how they allow us to understand the developmental origins of behaviour and the role of experience in shaping behaviour, and on the other hand on how a particular type of model – artificial neural networks – can uncover the way in which the constraints of brain function likely shape the properties of our cognitive systems. In Section 32.2, we consider the use of computers as tools to aid teaching, in particular in the use of artificial intelligence in education.

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The Cambridge Handbook of Cognitive Development , pp. 662 - 687
Publisher: Cambridge University Press
Print publication year: 2022

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