Design and implementation of intelligent testing laboratories based on computer and engineering cloud
Year: 2025
Type: article
Abstract: Lately, there has been a growing sense of alarm within the global community due to increasing concerns about the transmission of COVID-19 and the urgent need to contain the virus. An increasing number of higher education institutions worldwide have opted to suspend in-person classes. This global shutdown of face-to-face learning is a response to the escalating concerns about the spread of the coronavirus. Moreover, the pandemic has exposed new weaknesses in education systems worldwide. The requirements to accomplish this task, such as internet access and smart mobile devices, are readily available, and the field of cloud computing is undergoing significant development. On this basis, educators are exerting extra effort to compensate for the shortfall caused by the crisis. In this article, we designed a platform that simulates a laboratory, where students execute their work on four different topics: C++ lab, Python lab, Materials lab, and Civil Engineering lab. The designed labs can fit over 50 students simultaneously without lagging. Data transmission and execution speed were tested, yielding excellent results. Great results were achieved when students logged into the system at different times to complete their academic tasks electronically using the programming languages discussed in this paper. The final outcomes highlighted how well the students’ login times aligned with the execution times of the programs.
Author: Khitam Mohammed
Institution: University of Anbar
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4416877202
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