Using Fuzzy Multi-Criteria Decision-Making as a Human-Centered AI Approach to Adopting New Technologies in Maritime Education in Greece

The need to review maritime education has been highlighted in the relevant literature. Maritime curricula should incorporate recent technological advances, as well as address the needs of the maritime sector. In this paper, the Fuzzy Delphi Method (FDM) and the Fuzzy Analytic Hierarchy Process (FAHP) are utilized in order to propose a fuzzy multicriteria decision-making (MCDM) methodology that can be used to assess the importance of new technologies in maritime education and design a fuzzy evaluation model that can assist in maritime education policy-making. This study integrates the perspectives of the main maritime education stakeholders, namely, lecturers and maritime sector management. We selected data from a group of 19 experienced maritime professors and maritime business managers. The results indicate that new technologies such as artificial intelligence (AI), augmented and virtual reality (AR/VR), the Internet of Things (IoT), digital twins (DTs), and cybersecurity, as well as eLearning platforms, constitute a set of requirements that maritime education policies should meet by designing their curricula appropriately. This study suggests that fuzzy logic MCDM methods can be used as a human-centered AI approach for developing explainable education policy-making models that integrate stakeholder requirements and capture the subjectivity that is often inherited in their perspectives.

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Information
Published
2025-03-30
DOI
https://doi.org/10.3390/info16040283
Citations
3
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
3.44
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article

Using Fuzzy Multi-Criteria Decision-Making as a Human-Centered AI Approach to Adopting New Technologies in Maritime Education in Greece

Stefanos Karnavas, Stavroula Barbounaki, Athanasios Kyriazis, Ilias Peteinatos
3 citations
Information
Maritime Navigation and Safety
3.44
article

Using Fuzzy Multi-Criteria Decision-Making as a Human-Centered AI Approach to Adopting New Technologies in Maritime Education in Greece

Stefanos Karnavas, Stavroula Barbounaki, Athanasios Kyriazis, Ilias Peteinatos
article en
3 citations

Abstract

The need to review maritime education has been highlighted in the relevant literature. Maritime curricula should incorporate recent technological advances, as well as address the needs of the maritime sector. In this paper, the Fuzzy Delphi Method (FDM) and the Fuzzy Analytic Hierarchy Process (FAHP) are utilized in order to propose a fuzzy multicriteria decision-making (MCDM) methodology that can be used to assess the importance of new technologies in maritime education and design a fuzzy evaluation model that can assist in maritime education policy-making. This study integrates the perspectives of the main maritime education stakeholders, namely, lecturers and maritime sector management. We selected data from a group of 19 experienced maritime professors and maritime business managers. The results indicate that new technologies such as artificial intelligence (AI), augmented and virtual reality (AR/VR), the Internet of Things (IoT), digital twins (DTs), and cybersecurity, as well as eLearning platforms, constitute a set of requirements that maritime education policies should meet by designing their curricula appropriately. This study suggests that fuzzy logic MCDM methods can be used as a human-centered AI approach for developing explainable education policy-making models that integrate stakeholder requirements and capture the subjectivity that is often inherited in their perspectives.

InformationVol. 16(4)
University of Piraeus (GR), Merchant Marine Academy (GR)
Openalex Percentile: Top 9%
Maritime Navigation and Safety
3.44
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Using Fuzzy Multi-Criteria Decision-Making as a Human-Centered AI Approach to Adopting New Technologies in Maritime Education in Greece — Stefanos Karnavas, Stavroula Barbounaki, et al. · Information (2025) | TGRS Research Map | TGRS