Ontology Development for Creating Identical Software Environments to Improve Learning Outcomes in Higher Education Institutions

Students engage in remote learning within a diverse computer environment. While virtual machines can address the challenges posed by heterogeneity, there remain unresolved issues, particularly related to the complexity of software management. An imperative is to discover an automated solution that f...

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Bibliographic Details
Published in:Electronics (Basel) 2023-07, Vol.12 (14), p.3057
Main Authors: Stolic, Predrag, Milosevic, Danijela, Stevic, Zoran, Radovanovic, Ilija
Format: Article
Language:English
Subjects:
Analysis
Distance education
Heterogeneity
Higher education institutions
Laboratories
Maintenance and repair
Methods
Ontology
Operating systems
Personal computers
Principles
Software
Software maintenance
Students
Technology application
Virtual computer systems
Virtual environments
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Summary:Students engage in remote learning within a diverse computer environment. While virtual machines can address the challenges posed by heterogeneity, there remain unresolved issues, particularly related to the complexity of software management. An imperative is to discover an automated solution that facilitates the creation of consistent software environments for educational purposes. This paper introduces ontology engineering principles as a means to tackle the complexities associated with software management. A suitable ontology is developed using OWL syntax, integrating knowledge pertaining to the required software within a specific academic domain. The practical applicability of this knowledge is enabled through the implementation of dedicated SPARQL queries within a Python program. The effectiveness of the automated solution in achieving identical software environments is verified through testing, conducted in both controlled laboratory settings and by students themselves, thus simulating authentic teaching scenarios. The solution not only adheres to the principles of reusability but can also be adapted or integrated into existing ontologies. Furthermore, it presents an opportunity to create automated and self-adjusting virtual machines, offering significant potential for educational and other domains.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics12143057