Artificial intelligence technologies to improve the quality of staff training in maritime industry

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Authors: Levchenko Natalia, Nelly Sedova, Gulsara Kuldysheva, Tatiana N. Gorbunova, Elena F. Alutina, Irina Anatolevna Ledovskikh, Ruslan Ivanovich Bazhenov
Cited by: 0
References: 4

Abstract

The paper presents a series of current approaches to manage the quality of teaching maritime personnel training by intelligent information technologies. The authors propose software, techniques and tools that are used to collect, process and analyze information about the learning process using the pack of customized applications for technical computing and computer simulation MATLAB, analytics platform KNIME and open source software pack for visualization and analysis of linked data GEPHI. The approaches can save much more time required to develop recommendations for improving the quality of maritime training, find out, present and record ready-to-use solution versions for new or specific problems, and redesign training programs much more completely and accurately.

Fields of Study & Subjects

Online Learning and Analytics Artificial Intelligence in Education Educational Technology and Pedagogy

Publication details

Journal / source
AIP conference proceedings
Volume
3390
Pages
060018–060018
Publication date
1 January 2026
Language
EN