Automated analysis of employers’ requirements and formed competencies of transport faculty graduates

The aim of the article is to present data analysis and visualize the obtained results regarding compliance of knowledge and skills of Orel State University students studying transport with employers’ requirements. The operations were performed with an aid of a dedicated software KNIME Analytics Plat...

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Veröffentlicht in:AIP conference proceedings 2022-10, Vol.2503 (1)
Hauptverfasser: Kulev, Andrei, Denisova, Anastasia, Pozdnyakov, Andrey, Akhunova, Inna, Tlekhurai-Berzegova, Larisa
Format: Artikel
Sprache:eng
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Zusammenfassung:The aim of the article is to present data analysis and visualize the obtained results regarding compliance of knowledge and skills of Orel State University students studying transport with employers’ requirements. The operations were performed with an aid of a dedicated software KNIME Analytics Platform. Within the framework of the presented work, the following procedures were carried out: 1) a working project was developed in KNIME Analytics Platform; 2) the main requirements of employers to applicants for the position of a logistics specialist were identified; 3) the content of the work program of the discipline “Transport logistics” was analyzed; 4) a conclusion was made on the correspondence of the level of training of transport faculty students at the Orel State University to the requirements of employers.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0099871