|Аннотацiя:||This paper presents some models and methods for generating pedagogical interventions in model-tracing cognitive tutors. They use Bayesian networks for assessment and making decisions, this feature allows managing uncertainty reasoning based on a formal foundation. This technique combines the rigorous probabilistic formalisms with a graphical representation and efficient inference mechanisms. It is explained how Bayesian networks are employed as an inference engine to assess the degree of learning of the relevant knowledge components in the learning domain and determine the proper pedagogical interventions for performing a productive learning process.
Keywords: information technologies, Bayesian network, pedagogical intervention, model-tracing, cognitive tutors, Bayesian assessment.