Akademik Məlumat İdarəetmə Sistemi
in: AI, Analytics, and Assessment in Higher Education, Hany Zaky, Editor, IGI Global yayınevi, New York, pp.85-112, 2025
The maritime industry is undergoing a transformation process along with the sustainable development goals. In this cycle, continuous maritime skill transition has become essential to ensure that seafarers and shore-based professionals remain futureready. It is clearly stated that conventional training solutions are no longer sufficient in developing the maritime workforce. This book chapter introduces G-Maritime as a novel Learning Management System (LMS) founded on Large Language Models (LLM). Conceptualizing the G-Maritime LMS, a retrieval-augmented generation (RAG) system supported with a maritime-specific LLM is provided. Moreover, the system is guided by well-established instructional design techniques (SJT, ADDIE, Bloom) that maximize the benefits of AI integration into learning and assessment environment. Therefore, G-Maritime is fundamentally capable of delivering personalized learning and assessments. In addition to conceptual proposal, the study addresses probable challenges such as compliance, certification, and accessibility. A pilot implementation roadmap is also proposed to test the system. The study offers a valuable insight for trainers, policymakers, industry professionals, and investors seeking to understand and support maritime skill transition with generative LMS solutions. By integrating domain-specific AI capabilities with personalized content delivery, G-Maritime LMS represents a scalable model for future maritime learning ecosystems. G-Maritime has potential to become an accelerator for human-centred digital transformation in global shipping. © 2026, IGI Global Scientific Publishing. All rights reserved.