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Towards an AI Literacy Framework for Maritime English Education: Integrating Language, Professional, and Digital Competencies

  • Yuniar Ayu Hafita1*
  • Ryan Puby Sumarta2
  • Agus Sulistiono3
  • Sunarlia Limbong4
  • Fadel Muhammad5
3 Merchant Marine Polytechnic of Sulawesi Utara image/svg+xml
* Corresponding Author: Yuniar Ayu Hafita

Abstract

Generative artificial intelligence (GenAI) is increasingly influencing language education by providing opportunities for personalized practice, immediate feedback, and flexible access to learning resources. However, effective use of GenAI in Maritime English requires competencies beyond general language proficiency and basic technological skills. Maritime English involves specialized terminology, standardized communication, operational contexts, and professional requirements in which inaccurate or inappropriate AI-generated content may have practical consequences. This conceptual study develops an AI literacy framework for Maritime English education through a conceptual literature synthesis. The synthesis draws on literature published between 2020 and 2026, supplemented by earlier foundational works on AI literacy and English for Specific Purposes (ESP), as well as authoritative Maritime references, including IMO Standard Marine Communication Phrases and IMO Model Course 3.17. Sources were selected based on their relevance to AI literacy, generative AI in language education, ESP, learner autonomy, and Maritime English, with particular attention to their conceptual contributions and applicability to Maritime communication. The synthesis identifies digital-AI competence as the core AI literacy capability, supported by two contextual knowledge bases: language competence and professional Maritime competence. Language competence enables learners to evaluate AI-generated language, while professional Maritime competence supports the verification of terminology, operational relevance, and contextual appropriateness. Digital-AI competence enables critical and responsible interaction with AI systems, including prompt formulation, output evaluation, and information verification. The proposed framework provides a conceptual basis for integrating AI literacy into Maritime English education while maintaining linguistic and professional standards. Future empirical research is needed to operationalize and validate the framework among Maritime English learners, lecturers, and Maritime professionals.

Keywords

AI Literacy Maritime English Generative AI

How to Cite

Citation Format
Hafita, Y. A., Sumarta, R. P., Sulistiono, A., Limbong, S., & Muhammad, F. (2026). Towards an AI Literacy Framework for Maritime English Education: Integrating Language, Professional, and Digital Competencies. LANCAH: Jurnal Inovasi Dan Tren, 4(2), 1433-1450. https://doi.org/10.35870/ljit.v4i2.8975

References

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Author Biographies

Yuniar Ayu Hafita

Program Studi Permesinan Kapal, Politeknik Pelayaran Sorong, Indonesia

 

Ryan Puby Sumarta

Program Studi Manajemen Transportasi Laut, Politeknik Pelayaran Sorong, Indonesia

 

Agus Sulistiono, Merchant Marine Polytechnic of Sulawesi Utara

Program Studi Studi Nautika, Politeknik Pelayaran Sulawesi Utara, Indonesia

 

Sunarlia Limbong

Program Studi Ketatalaksanaan Angkutan Laut dan Kepelabuhan, Politeknik Ilmu Pelayaran Makassar, Indonesia

 

Fadel Muhammad

Program Studi Studi Nautika, Politeknik Pelayaran Sorong, Indonesia

 

License

Copyright (c) 2026 Yuniar Ayu Hafita, Ryan Puby Sumarta, Agus Sulistiono, Sunarlia Limbong, Fadel Muhammad

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

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