The shipbuilding industry is experiencing a transformation fuelled by new technologies and data-integrated systems, and this implies learning requirements for personnel working in shipyards. The complexity and uniqueness of shipbuilding projects, combined with the low digital readiness of shipyards causes special challenges toward the instructional design of learning solutions and calls for more research. This paper examines the creation of instructional materials that boost the digitalisation-related attitudes and skills of shipyard personnel, such as workers, engineers, and managers. This study hones in on the analysis and design stages of instructional development, leveraging the ADDIE model as a central framework, through a design-based research approach, and using interviews, surveys and document data in one shipbuilding digitalisation case involving multiple organisations.

Findings reveal distinguishing learning requirements among the different personnel groups working in the shipyards, underscoring the value of targeted training strategies. Specific, Measurable, Achievable, Relevant, Time-bound- SMART- learning objectives are defined, with the study incorporating the Morrison, Ross, and Kemp instructional design model and the CRAMPS framework to optimise media selection. Besides, Universal Design for Learning principles are also utilised to ensure inclusivity and accessibility in the training content in multicultural domains.

The results highlight the need for adaptable training resources that not only overcome learning obstacles but also enhance knowledge transfer and foster a culture of innovation within shipyards. The learning solution also needs to match with the digital readiness level of the specific shipyard, and the availability of suitable learning facilities for personnel without personal digital tools. This study initiates and contributes to the conversation on effective training and ongoing professional development within the project-centric industry by offering a detailed perspective on instructional design and its role in advancing data-driven practices.