A Second-Order Adaptive Network Model for Learner-Controlled Mental Model Learning Processes

Learning new knowledge or a skill usually requires the development of an adequate internal mental model in form network. The learning process for such involves (first-order) network adaptation. Such often integrates different elements, as by observation and instruction. For effective process, main issue is to get appropriate timing elements. To control these elements adaptation has be adaptive itself: second-order proposed here addresses this, where first-order models controls process. It illustrated learner-controlled context driving car learner integration