To the development of intelligent adaptive learning systems

Abstract

The article describes the prospects for creating an informational adaptive automated learning system (based on the English Language) using advanced artificial intelligence technologies. In particular, the work shows that the quality of education largely depends on the form of educational content and the parameters of the learning object (a student) associated with its perception of information. The formulated hypothesis of this work indicates that according to the written speech of the learning object, it is possible to classify it (the learning object) by the type of perception of educational content. For the first time, the paper proposes the use of the apparatus of artificial neural networks to solve the problem of automatic classification of learning objects according to the parameter indicated above, while analyzing the text written by this object. For the formation of educational content in the required form, it is proposed to use the system-object method of knowledge representation. The logical architecture of an adaptive teaching automated system is being considered.