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An Adaptive Network Model Covering Metacognition to Control Adaptation for Multiple Mental Models
Cognitive Systems Research ( IF 3.9 ) Pub Date : 2021-06-01 , DOI: 10.1016/j.cogsys.2020.11.005
Jan Treur

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.

中文翻译:

一种涵盖元认知的自适应网络模型,用于控制多种心理模型的适应

摘要 学习过程可以用自适应心理(或神经)网络模型来描述。如果使用元认知来调节学习,那么心理网络的适应也会变得自适应:二阶适应。在本文中,引入了二阶自适应心理网络模型用于学习过程的元认知调节。重点是多种内部心理模型的作用,特别是支持数字或符号技能学习的可视化案例。二阶自适应网络模型通过一个案例场景说明了可视化在小学支持学习乘法的作用。
更新日期:2021-06-01
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