Evaluating the Impact of AI Tools on the Performance of Maritime Trainees in METI
Capt. Ahmed Mohamed Aly Salem1, Capt. Mohamed H. M. Hassan2
DOI NO. https://doi.org/10.59660/50706
Received 12/12/2024, Revised 15/01/2025, Acceptance 01/03/2025, Available online and Published 01/07/2025

Abstract:

The Maritime industry is changing a lot because of new technology, more machines doing work, and the use of digital tools.  To stay important and useful, maritime schools need to use updated teaching methods that give students the important skills they need for jobs in the future.  This study looks at how artificial intelligence (AI) and data analysis can improve the way skills are measured in maritime training programs, making the assessment more accurate, efficient, and complete.

AI and data analysis help make learning more tailored to individuals, allow for fast tracking of progress, and can foresee future outcomes. This helps us see what the trainees know and can do more clearly. These technologies are capable of replicating actual ocean environments, providing a safe space for trainees to gain experience. They help judge how good trainees are at making choices, solving problems, and using their technical abilities. By using AI tools and analyzing data, teachers can find out where students need help, make custom training plans for each student, and guess how well they will do in the future.

The study uses different methods. It looks at new studies, checks out examples, and gathers information from schools that teach maritime skills. It shows how AI tests make checking skills more reliable, accurate, and quicker. The results show that using AI and data analysis improves the accuracy of assessments and helps training change to meet the changing needs of the shipping industry. This study contributes to the development of a fresh educational strategy aimed at equipping maritime employees to face the challenges posed by emerging technologies and automation.


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