Design and implementation of intelligent testing laboratories based on computer and engineering cloud

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.

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Publication Details

Journal
Journal of university of Anbar for pure science
Published
2025-12-01
DOI
https://doi.org/10.37652/juaps.2024.153919.1322
Primary Topic
Experimental Learning in Engineering
Type
article
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article

Design and implementation of intelligent testing laboratories based on computer and engineering cloud

Khitam Abdulbasit Mohammed
Journal of university of Anbar for pure science
Experimental Learning in Engineering
article

Design and implementation of intelligent testing laboratories based on computer and engineering cloud

Khitam Abdulbasit Mohammed
article en

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.

Journal of university of Anbar for pure scienceVol. 19(2)
University of Anbar (IQ)
Openalex Percentile: Top 50%
Experimental Learning in Engineering
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Design and implementation of intelligent testing laboratories based on computer and engineering cloud — Khitam Abdulbasit Mohammed · Journal of university of Anbar for pure science (2025) | TGRS Research Map | TGRS