Conceptualizing an Inclusive Metaverse for Enhanced Learning Among Students with Disabilities
Open accessAbstract
Traditional learning environments often fail to meet the diverse needs of students with disabilities due to various barriers, such as limited physical accessibility and a lack of personalized learning approaches. The emerging metaverse holds the potential to revolutionize education with its immersive and interactive capabilities, overcoming these traditional limitations. Despite research on metaverse-based inclusive learning, there is still a significant need for solutions that offer customized learning for various disabilities, comprehensive virtual support from educators and therapists, and enhanced analysis of student progress through cloud computing. Addressing this issue, our paper introduces a motivational scenario for an inclusive metaverse learning platform from which we derive the requirements for this platform. The paper identifies gaps in the existing literature, proposes an early metaverse architecture, and discusses potential research challenges. Utilizing a combination of advanced technologies, including Artificial Intelligence (AI), Federated Learning (FL), cloud computing, and blockchain, the proposed architecture aims to provide personalized educational experiences while ensuring robust data analysis, privacy, and security. Through this architecture, the study demonstrates how metaverse technologies can transform educational practices, making them more accessible and effective for students with disabilities.
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Other recent research has demonstrated how metaverse technologies can transform educational practices, making them more accessible and effective for neuro-diverse students.
“Other recent research has demonstrated how metaverse technologies can transform educational practices, making them more accessible and effective for neuro-diverse students (Salem et al., 2024).”
From Virtual Reality Risks for Children in the Metaverse: An Examination through Criminological Perspectives (2026) · cites this paper as Salem et al., 2024
The Motivating Scenario (section 2.1) describes how a proposed metaverse app could make learning more accessible for a student with autism, and the Proposed Early Architecture (section 4) also considers students with dyslexia. But the paper proposes a scenario and early architecture rather than demonstrating that its technologies have made education more accessible or effective for neurodiverse students. (LLM, conf=0.86)
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Cites
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Flagged first, then by citations
2 of the 21 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [12][12] Georg David Ritterbusch and Malte Rolf Teichmann. 2023. Defining the Metaverse: A Systematic Literature Review. IEEE Access 11 (February 2023), 12368–12377. Crossref Google Scholar a [...] the metaverse definition adopted by b [...] decoupled from the real physical world.”
Cited by
Sorted by citations
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Towards a Definition of the Inclusive Metaverse in Education: A Conceptual Scoping Review
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“Salem et al. [19] proposed an early architecture for an inclusive metaverse platform serving students with diverse disabilities, emphasizing the need for AI-driven learning customization, multi-stakeholder virtual participation by teachers, therapists, and parents, and accessibility features…”
Self-citation
- Authors
- Salem, R., Alfandi, O., & Al-kfairy, M.
- Affiliations
- Zayed University (AE)
- Venue
- Proceedings of the 2024 16th International Conference on Education Technology and Computers
- Publisher
- ACM
- Published
- 2024-09-18
- Pages
- 69-75
- OpenAlex
- W4406676614
- Cited by
- 4
- References
- 21
- Citations by year
- 2026: 2 · 2025: 2
- FWCI
- 1.52
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Conference on Education Technology and Computer (publishedVersion, cc-by)
- Funders
- Zayed University (23087)
- Topics
- Physical Sciences › Computer Science › Information Systems › Education and Learning Interventions
- Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Keywords
- metaverse, inclusive education, students with disabilities, personalized learning, accessibility, metaverse architecture, federated learning, blockchain, cloud computing, data privacy and security, artificial intelligence in education, virtual learning environments
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