Knowledge Management in the Expert Model of the Smart Tutoring System
Fatima-Zohra Hibbi, Otman Abdoun, El Khatir Haimoudi · 2020
Several studies have identified the importance of knowledge domain in the intelligent tutoring system. However, this system required a knowledge processing especially in the expert model. In this paper, we report that the combination of the state of the activity (Implicit/ explicit) and the knowledge processing of: declarative, procedural and conditional knowledge is mandated to compare the learner's behavior with that of an expert in regard to assessing their knowledge. The implementation of the expert model problem will be executed using the Bayesian network. For that purpose, the integration of the Bayes Network will be: the probability of the types of Knowledge (Declarative, Procedural or Conditional) and the choice is based on two criteria; the first one is the type of assessment (Memorization, Administration, Expertise) and the status (Explicit/Implicit).