2026, Vol. 7, Issue 2, Part D
The hybrid and blended learning models in maritime sector with reference to safe e-navigation in India
Author(s): Shri Ajit Sunil Topno and Namrata Yadav
Abstract: The concept of the e-navigation was raised at the International Maritime Organisation at the eighty-first session of the Maritime Safety Committee in 2006, for the first time. The introduction of e-navigation technologies, which aim to improve marine safety, efficiency, and situational awareness, is hastening the transition of the maritime industry. Technology like the Automatic Identification System (AIS), Electronic Chart Display and Information Systems (ECDIS), Long-Range Identification and Tracking (LRIT), and satellite-based navigation has greatly improved navigational accuracy and traffic management in India, a country whose economy and strategic position are strongly linked to maritime trade. On the other hand, new vulnerabilities have been presented by our reliance on digital technologies. There has never been greater dangers to supply chains, coastal security, and vessel safety from cyber security threats, which encompass a wide range of activities, from manipulating AIS and GPS signals to launching ransom ware attacks on shipboard and port infrastructure. The paper concludes by providing the digital technologies, Maritime training requirements, the present status and standards including methods of training and the adoption of the online, Hybrid and blended learning models in securing safe e-navigation in India. The study found that securing India's e-navigation ecosystem is crucial for maritime security, trade, and national sovereignty in the digital age, and not only because it's an operational need.
DOI: 10.22271/27084515.2026.v7.i2d.1025
Pages: 195-198 | Views: 29 | Downloads: 16
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How to cite this article:
Shri Ajit Sunil Topno, Namrata Yadav. The hybrid and blended learning models in maritime sector with reference to safe e-navigation in India. Asian J Manage Commerce 2026;7(2):195-198. DOI: 10.22271/27084515.2026.v7.i2d.1025
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