To the development of intelligent adaptive learning systems

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