Using learning automata to model the "Learning Process" of the Teacher in a Tutorial-like system

Unlike the field of Tutorial systems, where a real-life student interacts and learns from a software system, our research focuses on a new philosophy in which no entity need be a real-life individual. Such systems are termed as Tutorial-like systems, and research in this field endeavours to model every component of the system using an appropriate learning model (in our case, a Learning Automaton (LA)). While models for the Student, the Domain, the Teacher, etc. have been presented elsewhere, the aim of this paper is to present a new approach to model how the Teacher, in this paradigm, "learns" and improves his "teaching skills" while being himself an integral component of the system. We(1) propose to model the "learning process" of the Teacher by using a higher level LA, referred to as the Meta-Teacher, whose task is to assist the Teacher himself. Ultimately, the intention is that the latter can communicate the teaching material to the Student(s) in a manner customized to the particular Student's ability and progress. In short, the Teacher will infer the progress of the Student, and initiate a strategy by which he can "custom-communicate" the material to each individual Student.