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Conceptualizing a Novel Generative Maritime Learning Management System: G-Maritime
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Author(s): Vedat Dogancan (Department of Maritime Transportation & Management Engineering, Istanbul Technical University, Istanbul, Turkey), Kadir Cicek (Department of Marine Engineering, Istanbul Technical University, Istanbul, Turkey & Industrial Data Analytics and Decision Support Systems Center, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijan)and Metin Celik (Department of Basic Science, Istanbul Technical University, Istanbul, Turkey & Industrial Data Analytics and Decision Support Systems Center, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijan)
Copyright: 2026
Pages: 28
Source title:
AI, Analytics, and Assessment in Higher Education
Source Author(s)/Editor(s): Hany Zaky (Eastern International College, USA)
DOI: 10.4018/979-8-3373-7057-6.ch004
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Abstract
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 future-ready. 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.
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