The maritime industry is undergoing a profound transformation with the integration of autonomous technologies, which brings new challenges and opportunities for the education and training of seafarers. This article aims to examine the evolving landscape of autonomous ships and its impact on maritime education, with a focus on the changing roles and responsibilities of seafarers. The levels of autonomy defined by the International Maritime Organization (IMO) provide a framework for understanding the evolution towards fully autonomous ships and highlight the changing roles and responsibilities of seafarers. Using a systematic review based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA), this study examines maritime education for maritime autonomous surface ships (MASS). Using Scopus, Web of Science (WoS) and Google Scholar, a comprehensive search was conducted to identify relevant studies focusing on seafarer training and the impact of automation in the maritime sector. The analysis included bibliometric assessments, historical reviews and a categorization of research topics. This systematic review contributes to a deeper understanding of the current state and trends in maritime education for autonomous shipping. The findings inform educators and industry stakeholders about the critical aspects of education and training needed to address the challenges and realize the potential benefits of autonomous technologies in the maritime sector. The inclusion of bibliometric analysis enriches the study by providing a comprehensive overview of the researchers.

The maneuverability of ships is influenced by several factors, including ship design, size, propulsion system, hull shape, and external conditions such as wind, waves, and currents. The size, shape, and arrangement of the hull, rudder, and propeller are decisive for maneuverability. Hydrodynamic forces such as bank effect and squat significantly impact the maneuverability of large ships in narrow channels. With the increasing trend of building ever-larger ships, the demand to evaluate the maneuvering performance of the ship at the design stage has become more critical than ever. Both experimental and computational methods are used to obtain accurate maneuvering characteristics of vessels. In this study, the methods for predicting ship maneuvering characteristics are analyzed using a systematic review based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA). This article contributes to a deeper understanding of the hydrodynamic capabilities of ships and identifies possible future challenges in the field of ship hydrodynamics. The findings inform educators and the shipping industry about the importance of predicting the maneuvering performance of ships, with an emphasis on the education and training of seafarers needed to make timely decisions in critical situations.

The maneuverability of ships is influenced by several factors, including ship design, size, propulsion system, hull shape, and external conditions such as wind, waves, and currents. The size, shape, and arrangement of the hull, rudder, and propeller are decisive for maneuverability. Hydrodynamic forces such as bank effect and squat significantly impact the maneuverability of large ships in narrow channels. With the increasing trend of building ever-larger ships, the demand to evaluate the maneuvering performance of the ship at the design stage has become more critical than ever. Both experimental and computational methods are used to obtain accurate maneuvering characteristics of vessels. In this study, the methods for predicting ship maneuvering characteristics are analyzed using a systematic review based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA). This article contributes to a deeper understanding of the hydrodynamic capabilities of ships and identifies possible future challenges in the field of ship hydrodynamics. The findings inform educators and the shipping industry about the importance of predicting the maneuvering performance of ships, with an emphasis on the education and training of seafarers needed to make timely decisions in critical situations.

Cognitive workload and stress are key factors affecting human performance and safety in maritime navigation operations. This research proposes a composite gaze-tracking index, the Stress-Induced Gaze Pattern Score (SGPS), which integrates three complementary oculomotor metrics: pupil entropy, gaze dispersion, and gaze shift frequency. Single-blind research was conducted on a maritime navigation simulator with 65 participants of different ages, educational backgrounds, and maritime experience, who were exposed to an unexpected crisis scenario while eye movements and heart rate (HR) were simultaneously recorded. A two-layer interpretative model was introduced, in which SGPS serves as a quantitative measure of workload intensity, while FSR (Fixation-to-Saccade Ratio) acts as a qualitative moderator. Results showed that SGPS significantly correlated with HR in students (r = 0.77 in the acute phase, r = 0.74 in the sustained phase), thereby confirming its validity. At the whole-sample level, a significant correlation was observed in the sustained phase (r = 0.26, p = 0.05), suggesting broader applicability of the index. SGPS represents a promising objective tool for assessing cognitive workload in maritime simulation training and education, enabling early recognition of maladaptive stress responses, such as panic searching and cognitive tunnelling.