Necessity of Setting up Intelligent Maritime Course in China's Undergraduate Major in Navigation Technology
Vol 9, Issue 10, 2024, Article identifier:
VIEWS - 10 (Abstract) 5 (PDF)
Abstract
The maritime industry is at the forefront of a technological revolution with the advent of intelligent ships, which integrate modern information technology and artificial intelligence. Disclosed by Clarkson Reserach from 2019-2023,over the past five years, more than 95% of global ship construction has been dominated by China, South Korea, and Japan, with nearly 100% of new builds incorporating these advanced technologies. This rapid integration underscores the urgency for future maritime professionals to acquire management skills specific to intelligent ships. With China leading the charge with over 50% of the world's annual shipbuilding completion, it is of paramount importance to integrate intelligent maritime courses into the undergraduate navigation curriculum in China, including both academic and vocational education. This paper leverages big data descriptive analysis from global annual shipbuilding completion to argue for the necessity of incorporating intelligent navigation courses in undergraduate majors within China's navigation technology education.
The descriptive analysis of big data is the analysis of various characteristics of a set of data in order to describe the characteristics of the measurement sample and the overall characteristics it represents，and to reveal the characteristics with charts, curves and other visual methods, provide advice and reference to user when making decision .
It discusses the current state of navigation technology education, the importance of aligning curriculum with industry development, and the challenges and strategies for implementing intelligent navigation courses. The paper also explores the role of software and technology in these courses, the significance of industry collaboration, and the methods for evaluating and continuously improving the curriculum.
Keywords
Full Text:
PDFReferences
1. Demirel, E. (2020). Maritime education and training in the digital era. Universal Journal of Educational Research. pirireis.edu.tr
2. El-Sheimy, N. & Li, Y. (2021). Indoor navigation: State of the art and future trends. Satellite Navigation. springer.com
3. Osaloni, O. S. & Ayeni, V. O. (2022). The development of maritime autonomous surface ships: regulatory challenges and the way forward. Beijing L. Rev. scirp.org
4. Chuah, L. F., Mohd Salleh, N. H., Osnin, N. A., Alcaide, J. I., Abdul Majid, M. H., Abdullah, A. A., ... & Klemeš, J. J. (2021). Profiling Malaysian ship registration and seafarers for streamlining future Malaysian shipping governance. Australian Journal of Maritime & Ocean Affairs, 13(4), 225-261. researchgate.net
5. Aslam, S., Michaelides, M. P., & Herodotou, H. (2020). Internet of ships: A survey on architectures, emerging applications, and challenges. IEEE Internet of Things journal, 7(10), 9714-9727. researchgate.net
6. Zhang, X., Wang, C., Jiang, L., An, L., & Yang, R. (2021). Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey. Ocean Engineering. ljmu.ac.uk
7. Dai, K., Lingard, B., & Musofer, R. P. (2020). Mobile Chinese students navigating between fields:(Trans) forming habitus in transnational articulation programmes? Educational Philosophy and Theory. academia.edu
8. Kamola-Cieślik, M. (2021). Changes in the global shipbuilding industry on the examples of selected states worldwide in the 21st century. European Research Studies. ersj.eu
9. Lu, F., Zhou, H., Guo, L., Chen, J., & Pei, L. (2021). An ARCore-based augmented reality campus navigation system. Applied Sciences. mdpi.com
10. Deling, W., Dongkui, W., Changhai, H., & Changyue, W. (2020). Marine autonomous surface ship-a great challenge to maritime education and training. American Journal of Water Science and Engineering, 6(1), 10-16. researchgate.net
11. van Westrenen, F., & Baldauf, M. (2020). Improving conflicts detection in maritime traffic: Case studies on the effect of traffic complexity on ship collisions. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 234(1), 209-222. sagepub.com
12. de Água, P. M. G. B., da Silva Frias, A. D., Carrasqueira, M. D. J., & Daniel, J. M. M. (2020). Future of maritime education and training: blending hard and soft skills. Pomorstvo, 34(2), 345-353. srce.hr
13. Ma, X., Huang, J., Wang, R., & Shi, Y. (2024). China-ASEAN Free Trade Port from a Global Perspective: International Cooperation Mechanism for Maritime Vocational Education. Advances in Vocational and Technical Education, 6(4), 22-29. clausiuspress.com
14. Jamil, M. G., & Bhuiyan, Z. (2021). Deep learning elements in maritime simulation programmes: a pedagogical exploration of learner experiences. International Journal of Educational Technology in Higher Education, 18(1), 18. springer.com
15. Hung, D. V., Oanh, D. T., Giang, N. D. H., Toan, L. T., & Duc, N. M. (2024). Developing self-learning abilities for students in the context of the Covid-19 pandemic: A case study in Vietnam. allmultidisciplinaryjournal.com
DOI: https://doi.org/10.59429/esp.v9i10.3122
(10 Abstract Views, 5 PDF Downloads)
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Hui Wang, Aimin Wei, Donglou Li, Congjin Miao
This work is licensed under a Creative Commons Attribution 4.0 International License.