This study develops and comparatively evaluates four supervised machine learning models for multi-class prediction of final student outcome on the Open University Learning Analytics Dataset (OULAD), demonstrating that aggregate accuracy substantially overstates the usefulness of these models for risk detection and that...
A. Omarbekova, A. Nazyrova, G. Bekmanova et al.· International Journal of Int...· 0 citations
A wearable marker-assisted navigation system integrating QR code localization, SSD MobileNet V3 obstacle detection, TFmini-S LiDAR ranging, A*-based dynamic route planning, and audio feedback on a Raspberry Pi 5.
Aibol Tileukhan, G. Bekmanova, Valentina Franzoni et al.· Computers· 0 citations
Generative AI tools are now widely used in undergraduate programming, yet most evidence about how students use them comes from self-report rather than from observed behaviour. This study examined the sequential structure of students’ ChatGPT (GPT- 4o, OpenAI)-supported programming work and the cognitive complexity of t...
A. Omarbekova, M. Miłosz, G. Bekmanova et al.· Education sciences· 0 citations
Experimental results demonstrate that both monitoring stacks captured variations in processor utilization under load at the resolution configured by their default sampling intervals, with the 1,000-virtual-user stress bursts visible as sharp CPU peaks in both stacks.
A. Omarbekova, Lazzat Kussepova, A. Zulkhazhav et al.· Frontiers of Computer Scienc...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
