A conceptual model of a computer-aided learning knowledge base
Recent developments in the theory of artificial intelligence and the advent of the expert systems made it possible to actually produce intelligent systems for computer-aided learning (CAL). A major component of such a system is its knowledge base.
The paper presents a model for a knowledge base and an approach to building it.
To solve the task set, a sufficiently abstract hierarchical model has been developed of a knowledge base consisting of notions. By definition the model is recursive and subject-independent.
The transition to a learning-oriented knowledge base is achieved by using a well-known model for a content-information description of the process of learning. The basic element in it is the ‘elementary cognitive structure’ (ECS), which the authors identify with the ‘notion’ element of the general conceptual model. On this basis a model has been designed of a learning-oriented knowledge base, comprising ECS.
The very structure of ECSs that is to be built in the knowledge base could be different, depending on the goals, learning theories and strategies, the students' individual characteristics, etc.
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