Presentation
Virtual Workstations in Creative Arts Education: Evaluating Cloud-Based Delivery at Scale
DescriptionThis pilot study evaluates cloud-hosted virtual workstations delivered via Amazon Web Services (AWS) for real-time virtual production education using Unreal Engine, aiming to enhance accessibility for remote, regional, disabled, and socio-economically disadvantaged students. Conducted over two days through four structured sessions emulating authentic project-based learning, the research employed mixed-method data collection (including quantitative surveys and qualitative feedback from educators and students) to assess technical feasibility, user experience, and pedagogical outcomes.
Results indicated rapid participant adaptation, with initial access friction significantly decreasing and system usability metrics markedly improving over the course duration. Notably, latency experiences varied independently of internet speed, highlighting user interface and workload adaptation as critical factors influencing perceived performance. Educator reflections emphasized the necessity of targeted support ratios, ergonomic considerations, and adaptive pedagogical strategies tailored to virtual environments.
Findings demonstrate that cloud-based virtual workstations effectively overcome traditional barriers associated with on-campus computing resources, provided that pedagogical design prioritizes comprehensive user support, ergonomic awareness, and cognitive load management. This scalable approach offers promising implications for equitable, inclusive creative technology education.
Results indicated rapid participant adaptation, with initial access friction significantly decreasing and system usability metrics markedly improving over the course duration. Notably, latency experiences varied independently of internet speed, highlighting user interface and workload adaptation as critical factors influencing perceived performance. Educator reflections emphasized the necessity of targeted support ratios, ergonomic considerations, and adaptive pedagogical strategies tailored to virtual environments.
Findings demonstrate that cloud-based virtual workstations effectively overcome traditional barriers associated with on-campus computing resources, provided that pedagogical design prioritizes comprehensive user support, ergonomic awareness, and cognitive load management. This scalable approach offers promising implications for equitable, inclusive creative technology education.
Event Type
Educator's Forum
TimeTuesday, 16 December 202511:00am - 11:15am HKT
LocationMeeting Room S228, Level 2
Similar Presentations