Information technology support of education of students with autism: aspects of virtual assistant modeling

dc.citation.epage130
dc.citation.issue9
dc.citation.journalTitleВісник Національного університету "Львівська політехніка". Інформаційні системи та мережі
dc.citation.spage122
dc.contributor.affiliationНаціональний університет “Львівська політехніка”
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorАндруник, Василь
dc.contributor.authorШестакевич, Тетяна
dc.contributor.authorAndrunyk, Vasyl
dc.contributor.authorShestakevych, Tetiana
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-06-07T07:02:49Z
dc.date.available2023-06-07T07:02:49Z
dc.date.created2021-03-01
dc.date.issued2021-03-01
dc.description.abstractВважають, що взаємодія із комп’ютером або планшетом для особи з аутизмом є менш стресовою та привабливішою, ніж взаємодія із людьми. Аналіз інформаційних технологій, розроблених як за кордоном, так і в Україні, виявив відсутність систематичної підтримки процесів навчання учнів з аутизмом. У цьому контексті розроблення персоналізованого інформаційно-технологічного супроводу навчальних процесів таких учнів є актуальним науково-прикладним завданням. Для досягнення цієї мети необхідно дослідити теоретичні та методологічні основи навчання осіб з аутизмом та визначити роль ІТ-підтримки такої освіти. Експерти сходяться на думці, що основними напрямами розвитку інформаційних технологій для підтримки навчання учнів з аутизмом є удосконалення їхніх комунікативних навичок, соціальної взаємодії та академічної підготовки. Метод персоналізації віртуального контенту інформаційних технологій, розроблений або адаптований для підтримки навчання учнів з аутизмом, повинен враховувати результати психологічної діагностики учня, його чи її освітні здібності та потреби, а також передбачати залучення парафахівців та батьків учня. Під час розроблення такого методу потрібно враховувати, що деякі студенти можуть використовувати лише невербальне спілкування, тому слід розробити алгоритм оцінювання емоцій учня з аутизмом. Найперспективнішими технологіями, які можна належно і легко адаптувати до навчання учнів з аутизмом, є технології доповненої та віртуальної реальності. Відповідно до розробленого методу персоналізації віртуального контенту інформаційних технологій, необхідно використовувати різне програмне забезпечення для моделювання та візуалізації.
dc.description.abstractPeople with autism find that interacting with a computer or tablet is less stressful and more attractive than interacting with people. The analysis of information technologies developed both abroad and in Ukraine reveals the lack of systematic support for the education processes of people with autism. In this context, the development of personalized information technology support for the learning processes of such students is an urgent scientific and practical task. To achieve this goal it is necessary to explore the theoretical and methodological foundations of teaching people with autism and state the role of IT support of such education. Experts agree that the main areas of development of information technology to support the training of students with autism are the improvement of communication skills, improvement of social communication, and academic training. The method of personalization of virtual content of information technologies developed or adjusted to support education of students with autism should take into account the results psychological diagnostics of a student, his/her educational abilities and needs, and also such method might involve the participation of paraprofessionals and parents of a student. When developing such a method, it should be taken into account that some students might use non-verbal communication only, and an algorithm for evaluating the emotions of a student with autism should be developed. The most promising technologies which can be with an appropriate level of ease be adapted into the education of students with autism are augmented and virtual reality technologies. According to the developed method of personalization of virtual content of information technologies, different modeling and visualization software should be used.
dc.format.extent122-130
dc.format.pages9
dc.identifier.citationAndrunyk V. Information technology support of education of students with autism: aspects of virtual assistant modeling / Vasyl Andrunyk, Tetiana Shestakevych // Вісник Національного університету "Львівська політехніка". Інформаційні системи та мережі. — Lviv : Lviv Politechnic Publishing House, 2021. — No 9. — P. 122–130.
dc.identifier.citationenAndrunyk V. Information technology support of education of students with autism: aspects of virtual assistant modeling / Vasyl Andrunyk, Tetiana Shestakevych // Visnyk Natsionalnoho universytetu "Lvivska politekhnika". Informatsiini systemy ta merezhi. — Lviv : Lviv Politechnic Publishing House, 2021. — No 9. — P. 122–130.
dc.identifier.doidoi.org/10.23939/sisn2021.09.122
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/59145
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofВісник Національного університету "Львівська політехніка". Інформаційні системи та мережі, 9, 2021
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dc.relation.referencesen4. Shestakevych, T. (2017). The method of education format ascertaining in program system of inclusive education support. Proceedings of the 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017, 1, art. no. 8098786, 279–283.
dc.relation.referencesen5. Andrunyk, V., Pasichnyk, V., Kunanets, N., & Shestakevych, T. (2019). Multimedia educational technologies for teaching students with autism. CEUR Workshop Proceedings, 2533: Proceedings of the 1st International workshop on digital content & smart multimedia (DCSMart 2019), Lviv, Ukraine, December 23–25, 2019. 1, 237–248.
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dc.relation.referencesen8. Sun, L., Chen, R., Li, L., Yuan, B., Song, K., Pan, N., Cheng, T.-L., Chang, S., Lin, K., He, X., Wu, Q., Xu, F., Qiu, Z., & Wang, X. (2020). Visualization and correction of social abnormalities-associated neural ensembles in adult MECP2 duplication mice. Science Bulletin, 65 (14), 1192–1202.
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dc.relation.referencesen13. Horbova, M., Andrunyk, V., & Chyrun, L. (2020). Virtual reality platform using ml for teaching children with special needs. CEUR Workshop Proceedings, 2631, 209–220.
dc.relation.referencesen14. Andrunyk, V. & Yaloveha, O. (2021). AI system in monitoring of emotional state of a student with autism. Advances in Intelligent Systems and Computing (AISC). Vol. 1293: Selected papers from the International conference on computer science and information technologies, CSIT 2020, September 23–26, 2020, Zbarazh, Ukraine, 102–115.
dc.relation.referencesen15. Amado, M.L., Ruiz, L.C., & Andrade-Arenas, L. (2021). Prototype of an augmented reality application for cognitive improvement in children with autism using the DesingScrum methodology. Advances in Science, Technology and Engineering Systems, 6 (1), 587–596.
dc.relation.referencesen16. Khowaja, K., Banire, B., Al-Thani, D., Sqalli, M. T., Aqle, A., Shah, A., & Salim, S. S. (2020). Augmented reality for learning of children and adolescents with autism spectrum disorder (ASD): A systematic review. IEEE Access, 8, art. no. 9060971, 78779–78807.
dc.relation.referencesen17. Baragash, R.S., Al-Samarraie, H., Moody, L., & Zaqout, F. (2020). Augmented Reality and Functional Skills Acquisition Among Individuals With Special Needs: A Meta-Analysis of Group Design Studies. Journal of Special Education Technology. https://doi.org/10.1177/0162643420910413.
dc.relation.referencesen18. Mohd, C. K. N. C. K., Shahbodin, F., Suparjoh, S., & Khidir, N. A. S. M. (2019). Application of augmented reality in learning bakery for autism spectrum disorder. International Journal of Engineering and Advanced Technology, 9 (1), 2616–2620.
dc.relation.referencesen19. Wang, Y.-Y., Lai, A.-F., Shen, R.-K., Yang, C.-Y., Shen, V. R. L., & Chu, Y.-H. (2019). Modeling and verification of an intelligent tutoring system based on Petri net theory. Mathematical Biosciences and Engineering, 16 (5), 4947–4975.
dc.relation.referencesen20. Vörös, A., Darvas, D., Molnár, V., Klenik, A., Hajdu, Á., Jámbor, A., Bartha, T., & Majzik, I. (2016). PetriDotNet 1.5: Extensible Petri net editor and analyser for education and research Lecture. Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9698, 123–132.
dc.relation.urihttps://doi.org/10.1177/0162643420910413
dc.rights.holder© Національний університет “Львівська політехніка”, 2021
dc.rights.holder© Андруник В., Шестакевич Т., 2021
dc.subjectінформаційні технології
dc.subjectстудент з аутизмом
dc.subjectсемантичний диференціальний метод
dc.subjectвіртуальний асистент
dc.subjectдоповнена реальність
dc.subjectвіртуальна реальніст
dc.subjectinformation technology
dc.subjectstudent with autism
dc.subjectsemantic differential method
dc.subjectvirtual assistant
dc.subjectaugmented reality
dc.subjectvirtual reality
dc.subject.udc004.9
dc.subject.udc376.091.33-056.3](043.3)
dc.titleInformation technology support of education of students with autism: aspects of virtual assistant modeling
dc.title.alternativeІнформаційна технологія супроводу навчання студентів з аутизмом: аспекти моделювання віртуального асистента
dc.typeArticle

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