Friday, 28 March 2025
Dr Antonios Fringas*: Leveraging Computer-Based Training and AI in the Maritime Industry

We hear that Computer Based Training helps companies reduce their carbon footprint, how can this be possible?
Computer Based Training (CBT) can be a powerful tool to support companies
in achieving decarbonization goals. At SQLearn, we are proud that for more than 10 years we have developed a high level
of expertise in modern seafarer e-training methods, offering shipping companies innovative solutions tailored to their needs. CBT provides reduced environmental impact, compliance with environmental regulations, improves safety, offers enhanced efficiency, and reduces carbon emissions from student transportation. By utilizing CBT programs, operators can educate their crews on the best practices for reducing emissions, such as optimal voyage planning, fuel-efficient operation, and maintaining proper vessel speed. Additionally, CBT can help minimize the risk of spills and other accidents, which can have severe environmental impacts. Safety is a top priority for the maritime industry, and CBT programs can improve safety outcomes by regularly training crews on emergency response procedures, risk assessment, and other safety-related topics. This can help to reduce accidents and minimize the risk of injuries, ultimately improving the safety of crew members and vessels. CBT can also provide personnel with an understanding of regulations and standards they must comply with, helping them identify any areas of non-compliance. Furthermore, CBT can raise awareness among personnel about the environmental impacts of their actions and encourage steps to reduce these impacts.
One of the main advantages of e-learning is that it allows students to access educational content from anywhere, at any time eliminating the need for students to travel to a physical classroom, which significantly reduces carbon emissions from transportation.
What do you believe about the use of Artificial Intelligence (AI) in maritime training? Are you including any AI applications in your portfolio?
Artificial Intelligence (AI) can play a significant role in enhancing maritime training for vessel operators and crew members. It can develop interactive and immersive training programs simulating real-life scenarios, providing hands-on experience, and enabling learners to gain practical skills and knowledge.
AI-powered simulators create a safe and controlled environment for trainees to learn and practice skills, reducing risks associated with on-board training. Additionally,
AI can assess learners’ performance and provide personalized feedback, allowing trainers to identify areas for improvement and adjust the training program accordingly. This helps vessel operators and crew mem- bers better understand safety protocols, emergency response procedures, and best practices, ultimately leading to improved safety and efficiency in maritime operations. Moreover, combining AI with a system designed for maritime training, along with CBTs courses, can give optimal results. Specifically addressing vetting inspections, SQLearn has developed a Maritime Training AI Assistant, CaptAIn, a revolutionary learning aid embedded within each of its Computer-Based Training (CBT) courses. The assistant provides instant responses
to questions, personalized feedback, and valuable insights to help mariners better comprehend and retain course material while also preparing them for the rigorous demands of vetting inspections. The report- ing data collected in the training system can be utilized by an AI powered system to fine-tune training procedures by identifying deficiencies and improving training results. Furthermore, the training needs analysis can extend to address specific requirements such as those requested by vetting inspections like OCIMF’s SIRE 2.0 or RISQ by RightShip.
What is the demand for Computer Based Training in the post COVID maritime landscape?

During COVID, there was a shift towards online CBT dictated by the imposed lockdown. Many companies and seafarers embraced online training and soon be- came accustomed to its advantages over traditional training methods. In the following years, more companies recognized the increased ROI offered by online training, while seafarers appreciated the amount of knowledge accessible 24/7 without needing to travel in a training center. Today, IMO and flag administrations recognize more online courses easing the burden on seafarers during shore leave.
Companies have a strong need to better prepare their crews and vessels for vet- ting inspections. With SIRE 2.0 focusing more on the human element how can maritime training assist companies with this new workload?
SQLearn proposes a comprehensive solution to cover training requirements arising from OCIMF’s SIRE 2.0. This includes specific CBTs for each SIRE 2.0 chapter, specialized software for overall training activities management and reporting, specialized competency management software, cloud-based simulator training, and ves- selspecific virtual familiarization. SQLearn’s CBT courses cover various chapters of OCIMF SIRE 2.0, preparing seafarers and ashore personnel for SIRE inspections. In addition, SQLearn’s “Vetting Inspections preparation software” (“Vetti”) allows crew personnel to initiate virtual vessel vetting inspection based on well-known question- naires like RISQ, VIQ or create custom/ company specific ones. This software provides a detailed overview of the vessel status, identifies potential deficiencies, and better prepares for actual inspections. “Vetti” not only offers a comprehensive approach to conducting pre vetting inspections with precision but also stands as a sentinel for identifying crew training gaps and needs, ensuring teams are proficient, compliant, and ready for any challenge.
Furthermore, “Vetti” offers unparalleled customization, allowing companies to adapt the software to meet company specific questionnaires, inspection criteria, and/or operational requirements, assigning each crew member only the relevant questions based on their rank.
* General Manager of SQLearn S.A.

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