An adaptive network model covering metacognition to control adaptation for multiple mental models

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Learning processes can be described by adaptive mental (or neural) network models. If metacognition is used to regulate learning, the adaptation of the mental network becomes itself adaptive as well: second-order adaptation. In this paper, a second-order adaptive mental network model is introduced for metacognitive regulation of learning processes. The focus is on the role of multiple internal mental models, in particular, the case of visualisation to support learning of numerical or symbolic skills. The second-order adaptive network model is illustrated by a case scenario for the role of visualisation to support learning multiplication at the primary school.

Original languageEnglish
Pages (from-to)18-27
Number of pages10
JournalCognitive Systems Research
Volume67
Early online date4 Dec 2020
DOIs
Publication statusE-pub ahead of print - 4 Dec 2020

Keywords

  • Adaptive network model
  • Control of adaptation
  • Metacognition
  • Rivera

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