Семантические модели компетенций в адаптивной системе автоматизированного обучения

The paper presents an approach to the semantic competence model and semantic student model creation in conditions of computer-aided adaptive learning as a multidimensional model shown in the vector space. This approach allows to personalize the teaching process, raise its efficiency on the basis of competence-based assessment tests and ontological tests of personal learning styles. To solve this problem we use Web-ontologies, that is in accordance with Semantic Web technology and implement the possibility of constructing a testing program that generates control tasks based on the ontologies semantics of particular training courses. The formed structure model of knowledge adaptive learning system intends to create the training courses descriptions for different educational standards as well as training data storage for graphic display of student’s individual learning trajectory.