Virtual reality educational scenarios for students with ASD: Instruments validation and design of STEM programmatic contents
Year: 2024
Type: article
Abstract: BackgroundVirtual Reality (VR) makes it possible to simulate real-life situations in controlled and safe virtual environments. The literature reveals a significant gap in terms of appropriate educational resources adapted to the specific needs of these students with Autism Spectrum Disorder (ASD), resulting in difficulties in their inclusion in the traditional educational context. With the growing need for inclusive approaches in education, we present solutions to support students with ASD using VR. This article presents a proposal for a STEM educational scenario using VR to help students with ASD, along with a preliminary design and validation of a specific Virtual Learning Environment (VLE).MethodsThe Design Science Research (DSR) methodology was used to develop a VR artefact for students with ASD. In addition, we applied the Delphi Method in the expert involvement phase which will contribute to the validation of the artefact's specific requirements. Both will allow for an inclusive and distinctive approach to the development of an artefact, aiming to offer a rich and inclusive educational experience, meeting the varied needs and learning styles of students with ASD, optimising the effectiveness of the proposed VLE.ResultsThe results reveal a strong acceptance among experts, validating the effectiveness of VLEs, but also highlight the potential positive impact of this approach on students with ASD.ConclusionsThis study highlights the successful validation of an innovative virtual reality programme for students with ASD, highlighting its pedagogical effectiveness, the importance of interdisciplinary collaboration and the strong contribution to the advancement of inclusive education.
Source: Research in Autism
Authors: Rui Manuel Silva, Paulo Martins, Tânia Rocha
Institutions: University of Trás-os-Montes and Alto Douro, INESC TEC
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,410
OpenAlex ID: W4404850427
