Scholarly record
INNOVATIVE TECHNOLOGIES OF VIRTUAL REALITY IN THE EDUCATIONAL SYSTEM FOR STUDENTS WITH DISABILITIES
Abstract
This study is intended to develop educational technologies for disabled students with violation of musculoskeletal system. According to the World Health Organization the statistical data on diseases of the musculoskeletal system accounts for 30% each 10 years, as for the percentage disablement due to this factor it accounts for 25-30%. The Global Burden of Disease study reported that musculoskeletal disorders are ranked as the second most common cause of disability. The disabled people?s problems related to the professional education and the socialization are the first magnitude ones in the modern society. An advanced step in assistive technology development provides ample opportunities for disabled people. The artificial intelligence is a driving force, which will present unique educational technologies, will allow a high-tech educating implementation and improve the quality of disabled life. A utilization of virtual reality technology is considered as one of the most efficient methods in rehabilitation and cognitive development while conducting rehabilitative trainings. The main aims of this work are an implementation of researches, a development of intellectual data system of educational process adaptation and an introduction of methods which will allow increasing metacognitive abilities of disabled people. This system entails implementation of practically feasible, innovative technologies of managing the inclusive process. Thus, this study was aimed to outline the potential effects of using VR technology biofeedback training to increase students' metacognitive level. To achieve this goal, a preliminary test /post-test quasi-experimental study was conducted at the Moscow State University of Humanities and Economics. A total of 65 students with musculoskeletal disorders participated in the study of these issues. There were 32 students in Group 1, 33 in Group 2. The same discipline was taught in both groups by the same instructor; however, the experimental group took VR biofeedback training every week during the semester, while the control group continued with the usual methods. Data was collected using a Metacognitive Awareness Inventory. The results showed that the virtual reality technology can be applied in the intelligent educational system. In addition, these results are suitable for applying in development of cognitive abilities in order to increase the cognitive functions of students with musculoskeletal disorders.
Publication Impact Profile
- Captures
- Mendeley - Readers: 25
Publication details
References12
Brennan-Olsen, S.L., Cook, S., Leech, M.T., Prevalence of arthritis according to age, sex and socioeconomic status in six low and middle income countries: analysis of data from the World Health Organization study on global AGEing and adult health Wave 1, BMC Musculoskeletal Disorders 18, 2017.
Briggs A.M., Cross M.J., Hoy D.G., Musculoskeletal health conditions represent a global threat to healthy aging: a report for the 2015 World Health Organization world report on Ageing and health, Gerontologist, vol. 56(S2), 2016, pp 234–255.
Nelson L.A., The role of biofeedback in stroke rehabilitation: past and future directions, Top Stroke Rehabilitation, vol.14(4), pp 59-66, 2007.
Petrunina E., Beloglazov A., Beloglazova L., Bayramov E., Creation an intelligent personalized e-learning system for disabled students with violation of musculosketal system, 19th International Multidisciplinary Scientific Geoconference, SGEM 2019; vol. 19, 2019, pp. 87-94.
Rahman Y.A., Hoque M.M., Zinnah K.I., Bokhary I.M., Helping-hand: a data glove technology for rehabilitation of monoplegia patients, 19th International Forum on Strategic Technology (IFOST), p. 199–204, 2014.
Volovik M.G., Borzikov V.V., Kuznetsov A.N., Bazarov D.I., Polyakova A.G., Virtual Reality Technology in Complex Medical Rehabilitation of Patients with Disabilities (Review), 2018. https://cyberleninka.ru/article/n/virtual-reality-technology-in-complex-medical-rehabilitation-of-patients-with-disabilities-review Accessed 12 May 2020.
Roosink M., Mercier C. Virtual feedback for motor and pain rehabilitation after spinal cord injury, Spinal Cord, 2014, vol.52(12), pp 860–866.
Pozeg P., Palluel E., Ronchi R., Solca M., AlKhoudairy A.W., Jordan X., Kassouha A., Blanke O., Virtual reality improves embodiment and neuropathic pain caused by spinal cord injury, Neurology, 2017, vol.89(18), pp 1894–1903.
Stepsreabil, http://stepsreabil.com/ Accessed 12 May 2020.
Physiomed, http://schuhfried.com/ Accessed 12 May 2020.
Schraw G., Dennison R. S., Assessing metacognitive awareness, Contemporary Educational Psychology, 1994, vol. 19(4), p. 460-475.
Schraw G., Measuring Self-Regulation in Computer-Based Learning Environments, Educational Psychologist, 2010, vol. 45, p. 258-266.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.