An increase in volume and complexity of engineering knowledge in the digitalization of high technology and knowledge-intensive industries including railway transport constantly raise the level of employers’ entry requirements for competences of their future employees. While recognising the potential of an ontological approach to modernise engineering education, many researchers comment that ontology-based education technologies are still insufficiently used in university practice. The primary novelty of this article lies in a number of conceptual provisions supported by the authors. Firstly, the content of education courses within engineering education programmes should be standardised through ontologies at the level of concepts and their relations. Secondly, subject ontologies harmonised with the standards for physical objects through a system of similar concepts can be considered as standards in the development of education courses. Thirdly, the ontological model of an education course has certain advantages over traditional formats for content representation (text, hypertext), as it is more systematic and available for a process of critical re-thinking. Fourthly, an education course ontology establishes the method of forming a system of professional concepts among future railway engineers. In order to translate the idea about standardisation of an education course via its concepts and relations into practice, a piece of ontology for the Artificial Intelligence Systems Course has been developed. The top-down method was applied to construct this ontology.


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    Title :

    Standardization of Education Content for Future Engineers Based on Ontologies (by an Example of Railway Transport)


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Conference:

    International Scientific Siberian Transport Forum ; 2021 May 11, 2021 - May 14, 2021



    Publication date :

    2022-03-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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