Exploring the Integration of Extended Reality and Artificial Intelligence (AI) for Remote STEM Education and Assessment
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918411355815936 |
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| author | Hossain, Shadeeb Sommer, Natalie Adib, Neda |
| author_facet | Hossain, Shadeeb Sommer, Natalie Adib, Neda |
| contents | This paper presents a dynamic gamification architecture for an Extended Reality Artificial Intelligence virtual training environment designed to enhance STEM education through immersive adaptive, and kinesthetic learning. The proposed system can be introduced in four phases: Introduction Phase, Component Development Phase, Fault Introduction and Correction Phase and Generative AI XR scenarios Phase. Security and privacy are discussed via a defense-in-depth approach spanning client, middleware, and backend layers, incorporating AES 256 encryption, multi-factor authentication, role-based access control and GDPR or FERPA compliance. Risks such as sensor exploitation, perceptual manipulation, and virtual physical harm are identified, with mitigation strategies embedded at the design stage. Potential barriers to large scale adoption-including technical complexity, cost of deployment, and need for cybersecurity expertise are discussed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_03812 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring the Integration of Extended Reality and Artificial Intelligence (AI) for Remote STEM Education and Assessment Hossain, Shadeeb Sommer, Natalie Adib, Neda Human-Computer Interaction This paper presents a dynamic gamification architecture for an Extended Reality Artificial Intelligence virtual training environment designed to enhance STEM education through immersive adaptive, and kinesthetic learning. The proposed system can be introduced in four phases: Introduction Phase, Component Development Phase, Fault Introduction and Correction Phase and Generative AI XR scenarios Phase. Security and privacy are discussed via a defense-in-depth approach spanning client, middleware, and backend layers, incorporating AES 256 encryption, multi-factor authentication, role-based access control and GDPR or FERPA compliance. Risks such as sensor exploitation, perceptual manipulation, and virtual physical harm are identified, with mitigation strategies embedded at the design stage. Potential barriers to large scale adoption-including technical complexity, cost of deployment, and need for cybersecurity expertise are discussed. |
| title | Exploring the Integration of Extended Reality and Artificial Intelligence (AI) for Remote STEM Education and Assessment |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2509.03812 |