131725 20241125101201.0 doi 10.24215/16666038.23.e09 sideral 137031 ART-2023-137031 eng Alvarado, Yoselie Inclusive learning through immersive virtual reality and semantic embodied conversational agent: a case study in children with autism 2023 Access copy available to the general public Unrestricted Sustainable Development Goal 4 from the United Nations 2030 Agenda, focus on ensuring inclusive and equitable quality education and promoting lifelong learning opportunities for all. Inclusive education is a key component of sustainable development goal 4, and assistive technology is a critical factor in achieving it. In this context, this paper introduces the development of an immersive virtual reality system with conversational skills for inclusive learning processes. The idea of this work is to provide an assistive technology to motivate, educate, and train students with disabilities in a more inclusive way. In order to improve the user experience, the system was developed to work in a CAVE-like immersive environment using Natural Language Processing through a Semantic Embodied Conversational Agent. This work highlights that assistive technology can promote educational, psychological, and social benefits for students with disabilities. The use of assistive technology can enable academic engagement and social participation and be transformative from a psychological perspective. A case study was conducted on children with autism, which showed encouraging results of the system as an assistive technology for teaching and learning. info:eu-repo/semantics/openAccess by-nc http://creativecommons.org/licenses/by-nc/3.0/es/ 1.2 2023 COMPUTER SCIENCE, SOFTWARE ENGINEERING 98 / 132 = 0.742 2023 Q3 T3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE 50 / 59 = 0.847 2023 Q4 T3 0.312 2023 Computational Theory and Mathematics 2023 Q2 Theoretical Computer Science 2023 Q2 Computer Vision and Pattern Recognition 2023 Q3 Hardware and Architecture 2023 Q3 Software 2023 Q3 Computer Science (miscellaneous) 2023 Q3 Artificial Intelligence 2023 Q3 Computer Science Applications 2023 Q3 1.3 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Guerrero, Roberto Serón, Francisco Universidad de Zaragoza (orcid)0000-0003-1683-4694 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 23, 2 (2023), 107-116 J. Comput. Sci. Technol. Journal of Computer Science and Technology 1000-9000 548344 http://zaguan.unizar.es/record/131725/files/texto_completo.pdf Versión publicada 2590462 http://zaguan.unizar.es/record/131725/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:131725 articulos driver 2024-11-22-12:11:50 ARTICLE