Problem-based training with increased trainee activity
KLM expressed the need for more innovative training media to modernise and improve maintenance training.
The result of the project is a modernised, problem-based maintenance training design that enhances understanding of the systems and system interaction. This design comprises less traditional instruction and more trainee activity through paper-based assignments and problem-based AR scenarios.
The experiments proved that trainees score better using AR when it is fully integrated into the training design; trainees retained more of what they learned, had a deeper understanding and retention time was longer compared to traditional classroom training. Important lessons learned are the importance of shared AR and a maximum of 20 minutes wearing the AR goggles.
What we did
To ensure properly integrated use of training media, the project started with a review of the current training design and an analysis of current training content. Subsequently, there was a study of whether augmented reality (AR) could add value for aircraft systems that are difficult to train through traditional classroom training. Requirements for the AR application and training design were defined before starting actual development. Finally, the prototype was evaluated through an experiment.
The project was carried out in a highly interactive and agile way. Bi-weekly sprints were held with experts from relevant areas such as maintenance experts, application developers, human-machine interface experts and educational experts, which ensured accuracy and acceptance of intermediate and final results.
Royal Dutch Airlines KLM
Research organisation: Royal NLR
Start: June 2016
Duration: 2.5 years
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