Cloud-Based Collaborative Virtual Reality Labs for Advanced Microarchitecture Education and Remote Teaching
Shakhboz MeylikulovDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez, Uzbekistan. shaxboz_meyliqulov@tues.uz0009-0008-4220-8009
Abdurasul AbdullayevDoctoral Researcher, International Islamic Academy of Uzbekistan, Tashkent, Uzbekistan. muhammadrasul1965aaa@gmil.com0009-0009-8960-4380
Aziza KudratovaAssociate Professor, Department of Pedagogy and Psychology, Samarkand Branch of Tashkent International University of Chemistry, Samarkand, Uzbekistan. azizaqudratova1981@gmail.com0009-0006-5001-9238
Mavluda KubayevaAssociate Professor, Navoi Innovation University, Navoi, Uzbekistan. mavludakubayeva09@gmail.com0009-0001-0404-2940
Aziza SharipovaAssociate Professor, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan. 1212azik@mail.ru0000-0002-9309-4151
Maxliyo UmarqulovaTeacher, Faculty of Foreign Languages, Jizzakh State Pedagogical University, Jizzakh, Uzbekistan. adhamumarkukov1006@gmail.com0000-0002-0974-8395
Advanced microarchitecture courses demand rich, hands-on exploration of pipelines, caches, and memory systems. Though traditional hardware labs are costly, location-bound, and difficult to scale for remote or hybrid delivery. This paper presents a cloud-hosted, multi-user virtual reality (VR) laboratory designed specifically for advanced microarchitecture education and remote teaching. The proposed platform delivers an experiment-rich environment where students collaboratively inspect, instrument, and modify microarchitectural components such as pipeline stages, cache hierarchies, and branch predictors in real time. Architecturally, the system combines a web-based cloud front-end for authentication and session management, a scalable VR services layer providing multi-user scenes and collaboration tools, and a backend to adapt microarchitecture simulators whose internal state is visualized in 3D. Pedagogically, define learning objectives around instruction-level parallelism, hazard analysis, and memory hierarchy behavior, and instantiate these through structured labs on pipeline hazards, cache performance, and branch prediction. A mixed-method evaluation in an advanced microarchitecture course contrasts a control group using traditional 2D tools with an experimental group using the VR lab over 4–6 weeks. According to quantitative findings, the VR group outperformed the control group by 24.5% in post-test scores, decisive the idea that immersive collaborative contact is a key factor in conceptual understanding. The cloud-based architecture may provide responsive multi-user experiences under practical bandwidth limits, as shown by system-level metrics like latency and frame rate. Future integration of hardware-in-the-loop and adaptive learning analytics will be informed by qualitative feedback from instructors and students that demonstrates how immersive visualization and collaborative interaction may demystify complicated microarchitectural behavior and ease remote teaching.