Predictive Analytics Aiming to Increase the Educational Quality for Street Children with Hearing Impairment

Arifa Ashrafi, Victor Sergeevich Mokhnachev, Lyubov Petrovna Tsilenko

Abstract: Still in the 21st century due to various reasons including poverty, separation of parents, death of parents, unconsciousness of parents, etc. countless children spend their childhood in the street in Developing, Least Developed, and underdeveloped countries. Among them a big number faced different disabilities including hearing impairment. There is no substitute for education to improve the social condition and future security for these street children. In our article, we have focused on Predictive Analytics with the aim of formulating the equitable education system for street children with mainly hearing impairment, preventing various social taboos, and identifying the interrelationships between learning abilities and learning methods.

Keywords: Street children, Least Developed Countries, Hearing Impairment, Children Education