Evaluating the Impact of AI Tools on the Performance of Maritime Trainees in METI

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.

Authors

Publication Details

Journal
AIN Journal
Published
2025-04-05
DOI
https://doi.org/10.59660/50706
Citations
1
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Impact of AI Tools on the Performance of Maritime Trainees in METI

Ahmed Salem, Mohamed H. M. Hassan
1 citations
AIN Journal
Technology Assessment and Management
1.30
article

Evaluating the Impact of AI Tools on the Performance of Maritime Trainees in METI

Ahmed Salem, Mohamed H. M. Hassan
article en
1 citations

Abstract

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.

AIN JournalVol. 50(2)
Openalex Percentile: Top 23%
Technology Assessment and Management
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluating the Impact of AI Tools on the Performance of Maritime Trainees in METI — Ahmed Salem, Mohamed H. M. Hassan · AIN Journal (2025) | TGRS Research Map | TGRS