The New Algorithms Of Machine Learning For Education People With Special Needs

Abstract

The paper addresses the problem of adapting people with special needs to their environment. We support the idea that organizing special algorithms will be a solution to this problem. The analysis of people behavior in the actual learning process and their e-learning experience shows their ability to adjust their actions and develop adaptation skills relevant to any environment. Furthermore, we analyze the ways to involve people with special needs into the virtual setting activities, thus enabling them to feel that they are productive employees and members of the society. We present the detailed algorithm of the intellectual research, where each step affects the overall decision-making process. Participants, including those with special needs, can also correct their decisions, which helps them develop their abilities to adapt to their future working environment in a company. The main advantage of arranging such process in the electronic environment is that people with special needs acquire the adaptation, communication and decision-making skills as part of machine learning. The analysis of the subject area was carried out, and the main problems of creating automated systems for searching competency development tasks were considered. Also the methods that are used for reference systems (collaborative filtering), information semantic search, and separation of texts on topics without training are presented.