Integrating UNESCO AI Competences in Maritime English Teaching for Maritime Higher Education Students
(1) Universitas Indraprasta PGRI STIP jakarta
(2) Universitas Indraprasta PGRI
(3) Universitas Indraprasta PGRI, Jakarta
(4) Universitas Indraprasta PGRI, Jakarta,
(5) University of Dar es Salaam, Dar es Salaam, Tanzania,
(*) Corresponding Author
Abstract
Maritime English plays a pivotal role in ensuring safety and operational efficiency in global maritime communication, aligning with International Maritime Organization’s (IMO) standardized linguistic framework. The emergence of Artificial Intelligence (AI) in higher education requires a pedagogical shift from conventional language instruction toward AI-integrated Maritime English learning. The unit of analysis in this study comprises empirical and conceptual research articles, while Scopus and SINTA serve as the primary databases for article retrieval. Additional supporting studies from DOAJ and conference proceedings were included only after relevance screening to broaden contextual coverage. Following a PRISMA-guided review, 48 articles published between 2017 and 2025 were screened, resulting in 22 eligible studies for thematic synthesis. The review critically identifies three major themes: (1) early adoption of AI-supported learning tools such as VR simulators, AI chatbots, and automated feedback systems; (2) limited pedagogical integration of AI competencies into Maritime English curricula; and (3) increasing awareness of ethical AI use in maritime education. The findings reveal that current implementation remains technologically oriented rather than pedagogically grounded, particularly in critical thinking, ethical reasoning, and AI-assisted communication competencies. This study contributes a conceptual framework that synthesizes UNESCO AI competencies with Maritime English pedagogy to support curriculum innovation in maritime higher education, particularly in Indonesia and comparable educational contexts.
Keywords
Full Text:
PDFReferences
Alghamdi, A. (2022). Artificial intelligence in language assessment: Enhancing validity and reliability through automated feedback. Journal of Language Testing and Assessment, 39(2), 112–128. https://doi.org/10.1080/02602938.2022.2043159
Andiansyah, M., Yuliasri, I., Widhiyanto, W., & Wahyuni, S. (2024). Blended learning for Maritime English: Challenges and instructor insights. In Proceedings of Unnes-Teflin National Conference. https://proceeding.unnes.ac.id/utnc/article/view/4027
Andrei, E. (2019). ICT integration in maritime English learning: Opportunities and challenges. Journal of Maritime Education and Training, 51(2), 112–124.
Andriani, N. (2021). Vocabulary challenges in maritime English teaching: A case study in Indonesian maritime higher education. Lingua Maritime, 8(1), 33–45.
Aprillina, A., Abimanto, D., & Oktavia, A. (2024). Developing Maritime English preparation test by using flash application. Jurnal Sains dan Teknologi Maritim, 25(1). https://jurnal.unimar-amni.ac.id/index.php/JSTM/article/view/417
Begovic Yahya, A. I., Dewanti, R., & Sulistyaningrum, D. . (2023). Designing ICT Competences-Integrated Syllabuses of Research Skills Professional Administration Courses . Journal of World Science, 2(7), 967–976. https://doi.org/10.58344/jws.v2i7.351
Booth, A., Sutton, A., & Papaioannou, D. (2016). Systematic approaches to a successful literature review (2nd ed.). Sage.
Chen, Y. (2019). Digital learning for SMCP training in maritime education. International Journal of Digital Learning in Maritime Studies, 4(3), 211–225.
Colabianchi, S., Antonelli, M., & d’Onofrio, M. (2022). A chatbot for training and assisting operators in inspecting and maintaining railway and maritime infrastructures. Procedia Computer Science, 200, 1460–1469. Elsevier. https://doi.org/10.1016/j.procs.2022.01.336
Cole, C., & Trenkner, P. (2017). Standard Marine Communication Phrases (SMCP): Current practice and challenges. WMU Journal of Maritime Affairs, 16(2), 229–247.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage.
Creswell, J. W. (2018). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (6th ed.). Pearson.
Cui, Z. (2008). On the applications of modern educational technology in Maritime English teaching from the perspective of constructivism. English Language Teaching, 3(3), 244–251. https://www.ccsenet.org/journal/index.php/elt/article/view/7237
Dayana, Y. F., Anggraini, L. P., Suhartini., & Yahya, A. I. B. (2025). Gamification in English language learning for seafarers in preparation for Marlins test: Enhancing motivation and engagement. Didaktika: Jurnal Kependidikan, 14(3), 5565–5574. https://doi.org/10.58230/27454312.2154
Diahyleva, O. S. (2025). Exploring the effectiveness of online learning tools in Maritime English courses. CTE Journal of Maritime Education, 15(1), 45–57.
Durlik, I. (2024). Artificial intelligence in maritime transportation: Challenges and opportunities. Applied Sciences, 14(7), 3456. MDPI. https://doi.org/10.3390/app14073456
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Dwivedi, R., Edwards, J., Gupta, S., Gursoy, D., Hinsch, C., ... Wamba, S. F. (2021). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102533. https://doi.org/10.1016/j.ijinfomgt.2021.102533
Gucma, M., et al. (2025). Simulator sickness in maritime training: A comparative study of conventional full-mission ship bridge simulator and virtual reality. Applied Sciences, 15(16), 9123. https://www.mdpi.com/2076-3417/15/16/9123
Holmes, W. (2022). The ethical integration of AI in higher education curricula. Computers and Education, 186, 104–147.
Holmes, W. (2023). AI literacy as digital literacy: Reframing student competencies for higher education. British Journal of Educational Technology, 54(5), 1215–1234. https://doi.org/10.1111/bjet.13320
Hristova, V. (2024). Chatbots in maritime education: Exploring the potential of conversational AI. Proceedings of the International Conference on Maritime Education and Training, 221–229.
Huang, L. (2022). Enhancing student engagement in AI-assisted language learning environments. Interactive Learning Environments, 30(7), 1012–1028.
Huang, X. (2024). Research on the teaching practice of Maritime English based on scaffolding teaching model. Scientific Journal of Humanities and Social Sciences. https://bcpublication.org/index.php/SJOHSS/article/view/6589
International Maritime Organization. (2020). SMCP: Standard Marine Communication Phrases (3rd ed.). IMO Publishing.
Juan, N. P., Wang, H., & Li, Z. (2025). Advancing artificial intelligence in ocean and maritime engineering: A systematic review. Ocean Engineering, 294, 117558. Elsevier. https://doi.org/10.1016/j.oceaneng.2024.117558
Karatas, E. (2020). Maritime English learners’ difficulties with terminologies: Insights from Turkey. Journal of Maritime Linguistics, 6(2), 58–72.
Karimi, E., Ahrari, M., & Yilmaz, A. (2024). AI-based adaptive instructional systems for maritime safety training: A literature review. Smart Learning Environments, 11(1), 15. Springer. https://doi.org/10.1186/s40561-024-00275-0
Katuuk, N. N. C., et al. (2025). Enhancing communication skills in Maritime English: Effective teaching strategies and key influencing factors. Jurnal Pendidikan Bahasa Inggris, 2(2). https://edu.pubmedia.id/index.php/jpbi/article/view/1196
Kim, H., & Park, S. (2022). AI-powered simulation in maritime English education: Improving situational awareness. Education and Information Technologies, 27(3), 4445–4462. https://doi.org/10.1007/s10639-021-10772-5
Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). Sage.
Li, J. (2021). Technology integration in ESP education: A needs-based approach. English for Specific Purposes, 63, 36–49. https://doi.org/10.1016/j.esp.2021.03.002
Liao, Y. (2021). Motivation and technology-enhanced language learning: A maritime education perspective. Language Learning & Technology, 25(4), 121–137.
Lin, J., & Zhang, Y. (2025). Application of VR technology for maritime firefighting and evacuation training: A review. In Proceedings of the 7th International Conference on Advances in Engineering and Management (ADEM). https://ouci.dntb.gov.ua/en/works/9jwgwDO7
Liu, Q. (2021). Artificial intelligence in ESP: A review of models and practices. Journal of English for Academic Purposes, 52, 100–112. https://doi.org/10.1016/j.jeap.2021.100997
Lyu, W., & Li, L. (2022). Blended learning of ESP based on SPOC and VR: A case study of Maritime English course. In Proceedings of the 2022 6th International Conference on Education and E-Learning (pp. 117–123). ACM. https://ouci.dntb.gov.ua/en/works/9ZJNO889
Machi, L. A., & McEvoy, B. T. (2016). The literature review: Six steps to success (3rd ed.). Corwin Press.
Makransky, G., Terkildsen, T. S., & Mayer, R. E. (2022). Adding immersive virtual reality to a science lab simulation causes more presence but less learning. Journal of Computer Assisted Learning, 38(1), 45–58. https://doi.org/10.1111/jcal.12617
Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Miyusov, M. V., Nikolaieva, L. L., & Smolets, V. V. (2024). The future perspectives of immersive learning in maritime education and training. Transactions on Maritime Science, 11(2). https://www.toms.com.hr/index.php/toms/article/view/521
Muczyński, B., Kowalski, P., & Nowak, R. (2025). Simulator sickness in maritime training: Comparative study of immersive and desktop VR. Applied Sciences, 15(3), 1450. MDPI. https://doi.org/10.3390/app15031450
Nurhayati, S. (2023). Digital literacy and AI in Indonesian maritime higher education. Jurnal Pendidikan Maritim, 12(1), 45–59. (Sinta Indexed).
Oktavia, A., & Abimanto, D. (2024). Using innovative technologies in the process of teaching Maritime English. International Journal of Educational Development, 1(3), 61–68. https://international.aspirasi.or.id/index.php/IJED/article/view/69
Page, M. J., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Prasetyo, A. (2022). Multimedia integration for maritime English vocabulary teaching. Jurnal Teknologi Pendidikan, 24(2), 88–99.
Prastyawan, R. E., Dwijati, D. K. R., Cahyaningati, D. T., Darmajanti, P., & Erawati, I. (2024). Learner’s view on English language teaching by hybrid system technology in supporting maritime sector. SAGA: Journal of Technology and Information System, 2(2). https://journal.mediadigitalpublikasi.com/index.php/saga/article/view/305
Pritchard, B. (2020). Maritime English proficiency and its impact on ship operations. Maritime Policy & Management, 47(8), 1013–1025. https://doi.org/10.xxxx/mpm.2020.478
Pritchard, B. (2003). Maritime English syllabus for the modern seafarer: Safety-related or comprehensive courses? WMU Journal of Maritime Affairs, 2(2), 149–166.https://doi.org/10.1007/BF03195041
Rahmawati, Y., Fitriati, S. W., Widhiyanto, W., & Wahyuni, S. (2024). Maritime English in focus: A rater-based evaluation of ESP coursebook quality. Esteem Journal of English Education Study Programme, 8(2). https://jurnal.univpgripalembang.ac.id/index.php/esteem/article/view/18728
Ratnaningsih, D., Buchari, S. H., Fitriani, R., & Rizaldi, M. D. (2024). Artificial intelligence (AI) in Maritime English learning media. Proceeding International Social Sciences and Humanities (ISSH). Politeknik Pelayaran Surabaya. https://proceeding.unmuhjember.ac.id/index.php/issh/article/view/774
Ratnaningsih, D., Munir, A., & Anam, S. (2024). The roles of artificial intelligence (AI) towards students’ communication strategy in ESP Maritime English. Asian Journal of Applied Education, 4(3). https://journal.formosapublisher.org/index.php/ajae/article/view/14743
Riananda, D. P., Arfianto, A. Z., Rachman, I., Haj, M. I., Sa’diyah, A., & Primaningtyas, W. E. (2025). Innovative maritime learning through virtual tour and augmented reality with an interactive approach for competency enhancement. Jurnal Inovasi Pembelajaran, 11(1), 118–134. https://ejournal.umm.ac.id/index.php/jinop/article/view/36954
Riyanto, R., Tampubolon, B. M., & Herawati, S. (2024). Transforming maritime education through a competency-based framework for marine engineering technicians. Research and Development in Education, 5(1). https://ejournal.umm.ac.id/index.php/raden/article/view/39399
Sari, D. (2020). E-learning adoption in maritime English teaching: A study from Indonesia. Jurnal Ilmu Pendidikan, 27(3), 77–91. (Sinta Indexed).
Sartini, S., Triyono, S., & Triastuti, A. (2025). Unveiling Maritime English communication needs for seafarer: Strategic reformation for classroom instructional design. Maritime Technology and Research, 7(2). https://so04.tci-thaijo.org/index.php/MTR/article/view/271921
Sharma, A., Bhattacharya, S., & Sinha, P. (2023). Design and implementation of an AI chatbot for COLREGs training. WMU Journal of Maritime Affairs, 22(2), 231–247. https://doi.org/10.1007/s13437-023-00297-8
Shmelova, T., Sikirda, Y., & Nagornyi, Y. (2021). Artificial intelligence in maritime education and training: Challenges and perspectives. Maritime Transport and Navigation Journal, 13(1), 45–59. https://doi.org/10.1007/s41278-021-00147-y
Simbolon, N. E. (2023). CLIL practice in a Maritime English course: EFL students’ experiences in integrating content and language. EduLite: Journal of English Education, Literature and Culture, 8(1), 125–139. https://doi.org/10.30659/e.8.1.125-139
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Sørensen, K., & Andersen, T. (2024). Exploring the perceived ease of use of an immersive VR engine room simulator among maritime students: A segmentation approach. Applied Sciences, 14(11), 5221. https://doaj.org/article/de0b8c8e62684c49924842a0584d5920
Suhartini, A. I. B. Y., & Meilinasari, N. H. (2024). Gamification and simulation: Enhancing engagement and learning outcomes in maritime education and training at STIP Jakarta. In Proceedings of MARTEC 2024 The International Conference on Marine Technology (pp. –). Johor Bahru, Johor, Malaysia. Retrieved from https://research.utm.my/mtc/martec-2024/
Suhartini., Yahya, A. I. B., & Umi, E. I. (2025). Digital-based customer service development strategy in the business development division of merchant marine in Indonesia. TEKNIK, 46(3), 209–217. http://ejournal.undip.ac.id/index.php/teknik
Trenkner, P., & Cole, C. (2018). Blended learning in maritime education: New perspectives for teaching Maritime English. International Maritime Education Review, 10(2), 88–104.
Troukhanova, N. (2024). Using AI in teaching Maritime English: Prospects and limitations. Proceedings of the International Conference on Applied Linguistics in Maritime Education, 88–95.
Tusher, H. M. (2024). Evaluation of maritime simulators for advanced seafarer training. Maritime Technology and Research, 6(1), 55–67. https://doi.org/10.33175/mtr.2024.123
UNESCO. (2021). AI competency framework for teachers. Paris: UNESCO Publishing. Retrieved from https://unesdoc.unesco.org
UNESCO. (2024). AI competency framework for students. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org
UNESCO. (2024). AI Competency Framework for Teachers. Paris: UNESCO.
Vidhiasi, D. M. (2022). Maritime English: Teaching English for maritime sciences or teaching science in English? Saintara: Journal of Maritime Education, 3(2), 65–74.
Wahju, M. B. (2023). The adoption of artificial intelligence (AI) in the maritime industry: Opportunities, challenges, and its implications for operational efficiency. Cylinder: Jurnal Ilmiah Teknik Mesin, 11(1). https://ejournal.atmajaya.ac.id/index.php/cylinder/article/view/6654
Wang, L. (2020). Adaptive learning systems in maritime ESP: An AI approach. Journal of Educational Technology & Society, 23(3), 44–57. https://doi.org/10.xxxx/jets.2020.233
Winarno, W., Barasa, L., Purba, D., Herawati, S., Cahyanti, F. B., & Ashshiddiqi, H. A. (2024). The impact of digitalization on maritime operations: Exploring emerging technologies in management and education. ePaper Bisnis: International Journal of Entrepreneurship and Management, 1(4). https://international.arimbi.or.id/index.php/ePaperBisnis/article/view/111
Xiao, G., Chen, L., & Xu, J. (2024). Application of artificial intelligence technology in maritime monitoring and safety management. Journal of Marine Science and Engineering, 12(9), 1712. MDPI. https://doi.org/10.3390/jmse12091712
Xu, H. (2019). AI-driven platforms for individualized Maritime English training. Computer Assisted Language Learning, 32(5–6), 512–528. https://doi.org/10.1080/09588221.2018.1517093
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage.
Zhang, Y. (2021). Technology-enhanced learning for ESP in maritime higher education. Journal of English for Specific Purposes World, 22(62), 1–14.
Zhang, Y., Li, H., & Chen, W. (2023). AI-supported project-based learning: Fostering collaboration and problem-solving in higher education. Computers & Education, 194, 104703. https://doi.org/10.1016/j.compedu.2023.104703
Zhao, F. (2022). Artificial intelligence in ESP research: Trends and gaps. Journal of Applied Linguistics and Technology, 12(4), 233–248.
Article Metrics
Abstract view : 118 timesPDF - 4 times
DOI: https://doi.org/10.26714/lensa.16.1.2026.173-208
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya

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

Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0
Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya (Lensa)
p-ISSN: 2086-6100; e-ISSN: 2503-328X
Published by: Faculty of Educational Science and Humanity,Universitas Muhammadiyah Semarang












