Abstract
Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (first-order) mental network adaptation. Such learning often integrates learning by observation and learning by instruction. For an effective learning process, an appropriate timing of these different elements is crucial. By controlling the timing of them, the mental network adaptation process becomes adaptive itself, which is called second-order mental network adaptation. In this chapter, a second-order adaptive mental network model is proposed addressing this. The first-order adaptation process models the learning process of mental models and the second-order adaptation process controls the timing of the elements of this learning process. It is illustrated by a case study for the learner-controlled mental model learning in the context of driving a car. Here the learner is in control of the integration of learning by observation and learning by instruction.
| Original language | English |
|---|---|
| Title of host publication | Mental Models and their Dynamics, Adaptation and Control |
| Subtitle of host publication | A Self-Modeling Network Modeling Approach |
| Editors | Jan Treur, Laila Van Ments |
| Publisher | Springer Nature Switzerland AG |
| Chapter | 9 |
| Pages | 209-253 |
| Number of pages | 45 |
| ISBN (Electronic) | 9783030858216 |
| ISBN (Print) | 9783030858209 |
| DOIs | |
| Publication status | Published - 2022 |
Publication series
| Name | Studies in Systems, Decision and Control |
|---|---|
| Volume | 394 |
| 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 of learning
- Learner-controlled
- Mental model
- Second-order adaptive