Creation an intelligent personalized e-learning system for disabled students with violation of musculosketal system

This study is devoted to the development of e-learning technologies for disabled students with violation of musculoskeletal system. These works are focused on creation an intellectual decision support system for inclusive education process, providing an individual approach and personalized e-learning for students with disabilities. Currently, there are several approaches and various techniques for creation education systems, and the investigation in artificial intelligence has been one of the most successful areas of on-going researches. In fact, the education process for disabled students is complex and heterogeneous in nature, as it is caused by multiple behavioral factors. Thus, the focus of this study is to outline the architectural design and the conceptual framework system based on ontological model of education process for people with disabilities. We propose a new approach to creation personalized e-learning system to meet the two requirements simultaneously: the efficiency of education process and compliance with the requirements of rehabilitation. Methodologically, three levels ontological model is used to analyze analytical decision models for inclusive process. The ontological model of the first level includes the compensation of physical disabilities, such as mobility of hands, fingers, speech disorder using information technology. The ontological model of the second level includes compensation of psychophysical features: low concentration of attention, naivety, functional behavioral systems and the ontological model of the third level includes the normalization and stability of cognitive processes. Obtained results show that proposed system can be applied in educational process. Furthermore, these results are suitable for applying in precision and rehabilitation system for student with disabilities. © 2019, International Multidisciplinary Scientific Geoconference. All rights received.

Petrunina E.1 , Beloglazov A.1 , Beloglazova L. 2 , Bayramov E.1
International Multidisciplinary Scientific Geoconference
Номер выпуска
  • 1 Moscow State Humanitarian and Economics University, Russian Federation
  • 2 Peoples' Friendship University of Russia, Russian Federation
Ключевые слова
Database technology; Disabled students; Expert assessments; Intelligent education system; Ontological model
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