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  1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
  2. Електронний архів Науково-технічної бібліотеки
  3. Матеріали конференцій
  4. Computational linguistics and intelligent systems
  5. Computational linguistics and intelligent systems. – 2020 р.

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52129
Title: Development of Virtual Reality Platform for Teaching Children with Special Needs
Authors: Horbova, Mariia
Andrunyk, Vasyl
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Horbova M. Development of Virtual Reality Platform for Teaching Children with Special Needs / Mariia Horbova, Vasyl Andrunyk // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 170–177. — (Intelligent Systems).
Bibliographic description (International): Horbova M. Development of Virtual Reality Platform for Teaching Children with Special Needs / Mariia Horbova, Vasyl Andrunyk // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 170–177. — (Intelligent Systems).
Is part of: Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020
Issue Date: 23-Apr-2020
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
Temporal Coverage: 23-24 April 2020, Lviv, Ukraine
Keywords: Virtual Reality
Machine Learning
Special needs
Number of pages: 8
Page range: 170-177
Start page: 170
End page: 177
Abstract: This study provides an overview at a possible solution to the problem of improving the quality of education for children with special needs through a virtual reality platform that uses machine learning. The purpose of this article is to use the abilities of VR and ML to help children with special needs to learn and socialize. The objects are the methods and tools of education for special needs. This platform is designed to solve the problems of children's difficulties with learning and socialization. For this purpose, the system was designed with the help of tools of virtual reality and machine learning. In this paper, we also give a description of the partial practical realization of the system. We conclude the investigation by highlighting the aspects that require further research and development.
URI: https://ena.lpnu.ua/handle/ntb/52129
ISSN: 2523-4013
Copyright owner: © Національний університет “Львівська політехніка”, 2020
URL for reference material: https://www.classvr.com/empathy-for-autism-with-virtual-reality/>
https://www.classvr.com/school-curriculum-contentsubjects/>
http://udlguidelines.cast.org/
http://www.springer.com/us/book/9783319459905
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5. Didehbani, N., Allen, T., Kandalaft, M., Krawczyk, D. and Chapman, S., 2016. Virtual Reality Social Cognition Training for children with high functioning autism. Computers in Human Behavior, 62, pp.703-711.
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7. Grivokostopoulou, F., Kovas, K. and Perikos, I., 2020. The Effectiveness of Embodied Pedagogical Agents and Their Impact on Students Learning in Virtual Worlds. Applied Sciences, 10(5), p.1739.
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9. Mesa-Gresa, P., Gil-Gómez, H., Lozano-Quilis, J. and Gil-Gómez, J., 2018. Effectiveness of Virtual Reality for Children and Adolescents with Autism Spectrum Disorder: An Evidence-Based Systematic Review. Sensors, 18(8), p.2486.
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11. Ahuja, A. and L. Boam, A., 2018. Sound walk guide: A transition tool for autism spectrum disorder. Annals of Indian Psychiatry, 2(2), p.135.
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16. Bozgeyikli, L., Raij, A., Katkoori, S. and Alqasemi, R., 2018. A Survey on Virtual Reality for Individuals with Autism Spectrum Disorder: Design Considerations. IEEE Transactions on Learning Technologies, 11(2), pp.133-151.
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32. Lytvyn Vasyl. Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches / Vasyl Lytvyn, Victoria Vysotska, Liliya Chyrun, Lyubomyr Chyrun // DATA STREAM MINING & PROCESSING. Proceedings of the 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). – August 23-27, 2016. – Lviv, Ukraine. – PP. 269-274.
33. Antonii Rzheuskyi, Orest Kutyuk, Victoria Vysotska, Yevhen Burov, Vasyl Lytvyn, Lyubomyr Chyrun. The Architecture of Distant Competencies Analyzing System for IT Recruitment // 2019 IEEE 14th International Scientific and Technical Conference on Computer Science and Information Nechnologies (CSIT’2019) : proceedings. – Volume 3. – 17-20 September 2019, Lviv, Ukraine. – PP. 254-261.
34. Shakhovska, N., Vovk, O., Hasko, R., Kryvenchuk, Y.: The method of big data processing for distance educational system. In: Advances in Intelligent Systems and Computing, 689, 461-473. (2018)
35. Rzheuskyi, A., Kutyuk, O., Voloshyn, O., Kowalska-Styczen, A., Voloshyn, V., Chyrun, L., Chyrun, S., Peleshko, D., Rak, T.: The Intellectual System Development of Distant Competencies Analyzing for IT Recruitment. In: Advances in Intelligent Systems and Computing IV, Springer, Cham, 1080, 696-720. (2020)
36. Shakhovska, N., Vysotska, V., Chyrun, L.: Features of E-Learning Realization Using Virtual Research Laboratory. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 143–148. (2016)
37. Odrekhivskyy, M., Pasichnyk, V., Rzheuskyi, A., Andrunyk, V., Nazaruk, M., Kunanets, O., Tabachyshyn, D.: Problems of the Intelligent Virtual Learning Environment Development. In: CEUR Workshop Proceedings, Vol-2386, 359-369. (2019)
38. Golovko, V., Savitsky, Y., Laopoulos, T., Sachenko, A., Grandinetti, L.: Technique of learning rate estimation for efficient training of MLP. In: Neural Networks, IJCNN, 323-328. (2000)
References (International): 1. Themenheft 2 zur Inklusion – Grundlagen und Hinweise für die Förderung von SuS mit Autismus-Spektrum-Stoerungen (ASS) an allgemeinen Schulen
2. Classvr.com. 2020. Empathy For Autism With Virtual Reality – Classvr. [online] Available at: <https://www.classvr.com/empathy-for-autism-with-virtual-reality/> [Accessed 5 April 2020].
3. Classvr.com. 2020. Curriculum-Aligned Virtual, Augmented & Mixed Reality Content – Classvr. [online] Available at: <https://www.classvr.com/school-curriculum-contentsubjects/> [Accessed 5 April 2020].
4. Niu, K., Guo, J., Pan, Y., Gao, X., Peng, X., Li, N. and Li, H., 2020. Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data. Complexity, 2020, pp.1-9.
5. Didehbani, N., Allen, T., Kandalaft, M., Krawczyk, D. and Chapman, S., 2016. Virtual Reality Social Cognition Training for children with high functioning autism. Computers in Human Behavior, 62, pp.703-711.
6. Bellani, M., Fornasari, L., Chittaro, L. and Brambilla, P., 2011. Virtual reality in autism: state of the art. Epidemiology and Psychiatric Sciences, 20(3), pp.235-238.
7. Grivokostopoulou, F., Kovas, K. and Perikos, I., 2020. The Effectiveness of Embodied Pedagogical Agents and Their Impact on Students Learning in Virtual Worlds. Applied Sciences, 10(5), p.1739.
8. Fridhi, A., Benzarti, F., Frihida, A. and Amiri, H., 2018. Application of Virtual Reality and Augmented Reality in Psychiatry and Neuropsychology, in Particular in the Case of Autistic Spectrum Disorder (ASD). Neurophysiology, 50(3), pp.222-228.
9. Mesa-Gresa, P., Gil-Gómez, H., Lozano-Quilis, J. and Gil-Gómez, J., 2018. Effectiveness of Virtual Reality for Children and Adolescents with Autism Spectrum Disorder: An Evidence-Based Systematic Review. Sensors, 18(8), p.2486.
10. Georgescu, A., Koehler, J., Weiske, J., Vogeley, K., Koutsouleris, N. and Falter-Wagner, C., 2019. Machine Learning to Study Social Interaction Difficulties in ASD. Frontiers in Robotics and AI, 6.
11. Ahuja, A. and L. Boam, A., 2018. Sound walk guide: A transition tool for autism spectrum disorder. Annals of Indian Psychiatry, 2(2), p.135.
12. dos Santos, C. and Osório, F., 2004. An intelligent and adaptive virtual environment and its application in distance learning. Proceedings of the working conference on Advanced visual interfaces - AVI '04.
13. Pan, Z., Cheok, A., Yang, H., Zhu, J. and Shi, J., 2006. Virtual reality and mixed reality for virtual learning environments. Computers & Graphics, 30(1), pp.20-28.
14. Roßmann, J., Schlette, C. and Wantia, N., 2012. Virtual Reality Providing Ground Truth for Machine Learning and Programming by Demonstration. Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B.
15. Herrera, G., Alcantud, F., Jordan, R., Blanquer, A., Labajo, G. and De Pablo, C., 2008. Development of symbolic play through the use of virtual reality tools in children with autistic spectrum disorders. Autism, 12(2), pp.143-157.
16. Bozgeyikli, L., Raij, A., Katkoori, S. and Alqasemi, R., 2018. A Survey on Virtual Reality for Individuals with Autism Spectrum Disorder: Design Considerations. IEEE Transactions on Learning Technologies, 11(2), pp.133-151.
17. Bernardes, M., Barros, F., Simoes, M. and Castelo-Branco, M., 2015. A serious game with virtual reality for travel training with Autism Spectrum Disorder. 2015 International Conference on Virtual Rehabilitation (ICVR).
18. Parsons, S., 2015. Learning to work together: Designing a multi-user virtual reality game for social collaboration and perspective-taking for children with autism. International Journal of Child-Computer Interaction, 6, pp.28-38.
19. Ip, H., Wong, S., Chan, D., Byrne, J., Li, C., Yuan, V., Lau, K. and Wong, J., 2018. Enhance emotional and social adaptation skills for children with autism spectrum disorder: A virtual reality enabled approach. Computers & Education, 117, pp.1-15.
20. Lahiri, U., Welch, K., Warren, Z. and Sarkar, N., 2011. Understanding psychophysiological response to a Virtual Reality-based social communication system for children with ASD. 2011 International Conference on Virtual Rehabilitation.
21. Mesa-Gresa, P., Gil-Gómez, H., Lozano-Quilis, J. and Gil-Gómez, J., 2018. Effectiveness of Virtual Reality for Children and Adolescents with Autism Spectrum Disorder: An Evidence-Based Systematic Review. Sensors, 18(8), p.2486.
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31. Shakhovska Natalya. Intelligent Systems Design of Distance Learning Realization for Modern Youth Promotion and Involvement in Independent Scientific Researches, Natalya Shakhovska, Victoria Vysotska, Lyubomyr Chyrun, Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing 512. Natalya Shakhovska Editor. Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6–10 Lviv, Ukraine, ISSN 2194-5357 ISSN 2194-5365 (electronic), ISBN 978-3-319-45990-5 ISBN 978-3-319-45991-2 (eBook), DOI 10.1007/978-3-319-45991-2, Library of Congress Control Number: 2016950408, Springer International Publishing AG 2017, PP. 175-198., Access mode: http://www.springer.com/us/book/9783319459905.
32. Lytvyn Vasyl. Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches, Vasyl Lytvyn, Victoria Vysotska, Liliya Chyrun, Lyubomyr Chyrun, DATA STREAM MINING & PROCESSING. Proceedings of the 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), August 23-27, 2016, Lviv, Ukraine, PP. 269-274.
33. Antonii Rzheuskyi, Orest Kutyuk, Victoria Vysotska, Yevhen Burov, Vasyl Lytvyn, Lyubomyr Chyrun. The Architecture of Distant Competencies Analyzing System for IT Recruitment, 2019 IEEE 14th International Scientific and Technical Conference on Computer Science and Information Nechnologies (CSIT’2019) : proceedings, Volume 3, 17-20 September 2019, Lviv, Ukraine, PP. 254-261.
34. Shakhovska, N., Vovk, O., Hasko, R., Kryvenchuk, Y., The method of big data processing for distance educational system. In: Advances in Intelligent Systems and Computing, 689, 461-473. (2018)
35. Rzheuskyi, A., Kutyuk, O., Voloshyn, O., Kowalska-Styczen, A., Voloshyn, V., Chyrun, L., Chyrun, S., Peleshko, D., Rak, T., The Intellectual System Development of Distant Competencies Analyzing for IT Recruitment. In: Advances in Intelligent Systems and Computing IV, Springer, Cham, 1080, 696-720. (2020)
36. Shakhovska, N., Vysotska, V., Chyrun, L., Features of E-Learning Realization Using Virtual Research Laboratory. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 143–148. (2016)
37. Odrekhivskyy, M., Pasichnyk, V., Rzheuskyi, A., Andrunyk, V., Nazaruk, M., Kunanets, O., Tabachyshyn, D., Problems of the Intelligent Virtual Learning Environment Development. In: CEUR Workshop Proceedings, Vol-2386, 359-369. (2019)
38. Golovko, V., Savitsky, Y., Laopoulos, T., Sachenko, A., Grandinetti, L., Technique of learning rate estimation for efficient training of MLP. In: Neural Networks, IJCNN, 323-328. (2000)
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