An adaptive network model covering metacognition to control adaptation for multiple mental models. (June 2021)

• Record Type: Journal Article
• Authors: Treur, Jan
• Is Part Of: Cognitive systems research. Volume 67(2021)
• Page Start: 18
• Page End: 27
• Publication Date: 2021-06
• Subjects: Adaptive network model -- Metacognition -- Control of adaptation -- Rivera; Cognition -- Periodicals; Cognitive engineering (System design) -- Periodicals; Artificial intelligence -- Periodicals; 153.05
• DOI: 10.1016/j.cogsys.2020.11.005
• Languages: English
• ISSNs: 1389-0417

Abstract

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.