Relevance of the article. In the modern world, as a result of the rapid development of medicine and the possibilities of caring for children, the number of children with special developmental needs is sharply increasing. This leads to an increase in disability, especially in cases where it is not possible to identify developmental disabilities at an early age and begin to take action. This is facilitated by the model of medical care in which the doctor has limited time to monitor the child. Therefore, in working with small kids, there is a problem of non-detection of deviations in development arises. On the other hand, even when children who need special conditions are identified, there is a problem of inaccessibility of developmental and educational services to children with disabilities at an early age (from birth to 3 years); lack of conditions for the formation of an inclusive environment in preschools (large group size – up to 30 people; lack of specialists in preschools; lack of network mechanisms for interaction with the territorial system of early intervention; a large variety of educational cases, etc., in the absence of an assessment of the quality of these resources.
The aim of the article. Development of an automated system “Child’s World”, aimed at early detection of developmental disabilities through pedagogical, parental and medical monitoring.
Description of the research progress. Monitoring was based on teachers’ observation over the behavior of children in nurseries and kindergartens and fixing of the results of the teacher’s observations of children in the system. In addition to teachers, the children are monitored by doctors and parents. The self-learning system adjusts the scores depending on the increase in the number of participants in the system. Based on the data obtained in the system, a psychological and pedagogical commission is organized in kindergarten. If necessary, parents are advised to contact the Psychological, medical and pedagogical commission, where specifics of development is verified and recommendations are made for the conditions of the child’s education. An adapted program is being developed in the kindergarten, observations are continuing and their recording is being carried out. The system is adjusted no more than once every six months.
The results of the study. The project was supported by the Agency for Strategic Initiatives, adopted as a good practice and discussed at a meeting of ASI experts. In December 2021, the project was also presented at the meeting “Digital Transformation in Preschool Education” at the Analytical Center under the Government of the Russian Federation. The project is currently being tested. In parallel, the artificial intelligence system is being trained.
Conclusion. The Information system was developed with much more functionality than expected, including not only pedagogical monitoring, but also medical; teachers of three regions (Klin, Moscow region; Omsk; Kazan, Republic of Tatarstan) were trained in five educational complexes. Pediatricians and nurses were trained in five medical institutions. Parents, whose children participated in the testing, were also trained.