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.
|Title of host publication
|Mental Models and their Dynamics, Adaptation and Control
|Subtitle of host publication
|A Self-Modeling Network Modeling Approach
|Jan Treur, Laila Van Ments
|Springer Nature Switzerland AG
|Number of pages
|Published - 2022
|Studies in Systems, Decision and Control
Bibliographical notePublisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Mental model
- Multiple representation