Abstract
The development and assessment of education policies in maritime is a complex task as it requires the consideration of several factors such as stakeholders’ views, infrastructure availability, lecturers’ potential, and motivation. Besides, the effectiveness of education policies can only be assessed at a later time after decisions have been made and investments have been implemented. Thus, the post development of education policies may be difficult to reverse let alone that new initiatives and directions are prone to the same difficulties and inefficiencies. This paper addresses the need for the design and assessment of alternative education policies scenarios before any actions are taken by proposing a hybrid methodological approach, utilising multicriteria analysis and fuzzy cognitive maps. This research analyses data collected from maritime academy students and staff in Greece. The proposed methodology provides the means for the development of fuzzy intelligent systems that allow education policy makers to develop education policies and assess their impact on education quality, student satisfaction and satisfaction of maritime companies. The results can be useful for both researchers and education policy makers.
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Karnavas, S., Kardaras, D., Barbounaki, S., Troussas, C., Tselenti, P., Kyriazis, A. (2023). Developing and Accessing Policies in Maritime Education Using Multicriteria Analysis and Fuzzy Cognitive Map Models. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 784. Springer, Cham. https://doi.org/10.1007/978-3-031-44146-2_25
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