A1 Refereed original research article in a scientific journal
Investigating educational solutions in the field of autonomous shipping at Finnish Universities
Authors: Morariu, Andrei-Raoul; Tsvetkova, Anastasia; Hellström, Magnus; Bolbot, Victor; Virtanen, Seppo
Publisher: Elsevier BV
Publication year: 2025
Journal: Transportation Research Interdisciplinary Perspectives
Journal name in source: Transportation Research Interdisciplinary Perspectives
Article number: 101402
Volume: 31
ISSN: 2590-1982
DOI: https://doi.org/10.1016/j.trip.2025.101402
Web address : https://doi.org/10.1016/j.trip.2025.101402
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/491465590
The transformative impact of autonomous shipping requires a call for changes in the workforce and necessitates a shift in curricula. This study explores the state of higher education in Finland within the context of autonomous shipping and Maritime Autonomous Surface Ships (MASS). The research presented in this article is based on the collaboration among several educational institutions in the focal country and examines the landscape for MASS-related education and related pedagogical approaches and tools. Based on 19 interviews of educators in six Finnish universities, the article investigates predominant learning frameworks, pedagogical approaches and digital solutions while discussing the preparedness of the Finnish higher education system to address the emerging needs of the autonomous shipping domain. The findings of the presented research indicate that while a variety of digital solutions and hands-on activities, such as simulations and programming exercises, are employed, the lack of standardization across institutions poses challenges for collaboration and multi-disciplinary learning. These insights lead to a proposal of a pedagogical framework emphasizing experiential and challenge-based learning.
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Funding information in the publication:
This work was supported by Finnish Ministry of Education and Culture as part of AutoMare EduNet project under application number 117784.