Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models

Jan Treur*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-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 chapter, 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
Title of host publicationMental Models and their Dynamics, Adaptation and Control
Subtitle of host publicationA Self-Modeling Network Modeling Approach
EditorsJan Treur, Laila Van Ments
PublisherSpringer Nature Switzerland AG
Pages81-97
Number of pages17
DOIs
Publication statusPublished - Jan 2022

Publication series

NameStudies in Systems, Decision and Control
Volume394
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Control
  • Mental model
  • Metacognition
  • Multiple representation

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